diff --git a/sdk/RELEASE.md b/sdk/RELEASE.md
index 827e355cda9..aa6668e9683 100644
--- a/sdk/RELEASE.md
+++ b/sdk/RELEASE.md
@@ -4,6 +4,7 @@
 * Support local execution of sequential pipelines [\#10423](https://github.com/kubeflow/pipelines/pull/10423)
 * Support local execution of `dsl.importer` components [\#10431](https://github.com/kubeflow/pipelines/pull/10431)
 * Support local execution of pipelines in pipelines [\#10440](https://github.com/kubeflow/pipelines/pull/10440)
+* Support dsl.ParallelFor over list of Artifacts [\#10441](https://github.com/kubeflow/pipelines/pull/10441)
 
 ## Breaking changes
 
diff --git a/sdk/python/kfp/compiler/compiler_utils.py b/sdk/python/kfp/compiler/compiler_utils.py
index 3a54cb041c3..f173c11d0c7 100644
--- a/sdk/python/kfp/compiler/compiler_utils.py
+++ b/sdk/python/kfp/compiler/compiler_utils.py
@@ -247,7 +247,8 @@ def get_inputs_for_all_groups(
             channel_to_add = channel
 
             while isinstance(channel_to_add, (
-                    for_loop.LoopArgument,
+                    for_loop.LoopParameterArgument,
+                    for_loop.LoopArtifactArgument,
                     for_loop.LoopArgumentVariable,
             )):
                 channels_to_add.append(channel_to_add)
@@ -309,10 +310,11 @@ def get_inputs_for_all_groups(
                 # loop items, we have to go from bottom-up because the
                 # PipelineChannel can be originated from the middle a DAG,
                 # which is not needed and visible to its parent DAG.
-                if isinstance(
-                        channel,
-                    (for_loop.LoopArgument, for_loop.LoopArgumentVariable
-                    )) and channel.is_with_items_loop_argument:
+                if isinstance(channel, (
+                        for_loop.LoopParameterArgument,
+                        for_loop.LoopArtifactArgument,
+                        for_loop.LoopArgumentVariable,
+                )) and channel.is_with_items_loop_argument:
                     for group_name in task_name_to_parent_groups[
                             task.name][::-1]:
 
diff --git a/sdk/python/kfp/compiler/pipeline_spec_builder.py b/sdk/python/kfp/compiler/pipeline_spec_builder.py
index a7e5546c102..86e446673e2 100644
--- a/sdk/python/kfp/compiler/pipeline_spec_builder.py
+++ b/sdk/python/kfp/compiler/pipeline_spec_builder.py
@@ -23,6 +23,7 @@
 from google.protobuf import json_format
 from google.protobuf import struct_pb2
 import kfp
+from kfp import dsl
 from kfp.compiler import compiler_utils
 from kfp.dsl import component_factory
 from kfp.dsl import for_loop
@@ -128,8 +129,10 @@ def build_task_spec_for_task(
             task._task_spec.retry_policy.to_proto())
 
     for input_name, input_value in task.inputs.items():
-        # since LoopArgument and LoopArgumentVariable are narrower types than PipelineParameterChannel, start with it
-        if isinstance(input_value, for_loop.LoopArgument):
+        # Since LoopParameterArgument and LoopArtifactArgument and LoopArgumentVariable are narrower
+        # types than PipelineParameterChannel, start with them.
+
+        if isinstance(input_value, for_loop.LoopParameterArgument):
 
             component_input_parameter = (
                 compiler_utils.additional_input_name_for_pipeline_channel(
@@ -140,6 +143,17 @@ def build_task_spec_for_task(
                 input_name].component_input_parameter = (
                     component_input_parameter)
 
+        elif isinstance(input_value, for_loop.LoopArtifactArgument):
+
+            component_input_artifact = (
+                compiler_utils.additional_input_name_for_pipeline_channel(
+                    input_value))
+            assert component_input_artifact in parent_component_inputs.artifacts, \
+                f'component_input_artifact: {component_input_artifact} not found. All inputs: {parent_component_inputs}'
+            pipeline_task_spec.inputs.artifacts[
+                input_name].component_input_artifact = (
+                    component_input_artifact)
+
         elif isinstance(input_value, for_loop.LoopArgumentVariable):
 
             component_input_parameter = (
@@ -155,7 +169,7 @@ def build_task_spec_for_task(
                     f'parseJson(string_value)["{input_value.subvar_name}"]')
         elif isinstance(input_value,
                         pipeline_channel.PipelineArtifactChannel) or (
-                            isinstance(input_value, for_loop.Collected) and
+                            isinstance(input_value, dsl.Collected) and
                             input_value.is_artifact_channel):
 
             if input_value.task_name:
@@ -190,7 +204,7 @@ def build_task_spec_for_task(
 
         elif isinstance(input_value,
                         pipeline_channel.PipelineParameterChannel) or (
-                            isinstance(input_value, for_loop.Collected) and
+                            isinstance(input_value, dsl.Collected) and
                             not input_value.is_artifact_channel):
             if input_value.task_name:
 
@@ -683,19 +697,25 @@ def build_component_spec_for_group(
         input_name = compiler_utils.additional_input_name_for_pipeline_channel(
             channel)
 
-        if isinstance(channel, pipeline_channel.PipelineArtifactChannel):
+        if isinstance(channel, (pipeline_channel.PipelineArtifactChannel,
+                                for_loop.LoopArtifactArgument)):
             component_spec.input_definitions.artifacts[
                 input_name].artifact_type.CopyFrom(
                     type_utils.bundled_artifact_to_artifact_proto(
                         channel.channel_type))
             component_spec.input_definitions.artifacts[
                 input_name].is_artifact_list = channel.is_artifact_list
-        else:
-            # channel is one of PipelineParameterChannel, LoopArgument, or
-            # LoopArgumentVariable.
+        elif isinstance(channel,
+                        (pipeline_channel.PipelineParameterChannel,
+                         for_loop.LoopParameterArgument,
+                         for_loop.LoopArgumentVariable, dsl.Collected)):
             component_spec.input_definitions.parameters[
                 input_name].parameter_type = type_utils.get_parameter_type(
                     channel.channel_type)
+        else:
+            raise TypeError(
+                f'Expected PipelineParameterChannel, PipelineArtifactChannel, LoopParameterArgument, LoopArtifactArgument, LoopArgumentVariable, or Collected, got {type(channel)}.'
+            )
 
     for output_name, output in output_pipeline_channels.items():
         if isinstance(output, pipeline_channel.PipelineArtifactChannel):
@@ -747,13 +767,34 @@ def _update_task_spec_for_loop_group(
         loop_argument_item_name = compiler_utils.additional_input_name_for_pipeline_channel(
             group.loop_argument.full_name)
 
-        loop_arguments_item = f'{input_parameter_name}-{for_loop.LoopArgument.LOOP_ITEM_NAME_BASE}'
+        loop_arguments_item = f'{input_parameter_name}-{for_loop.LOOP_ITEM_NAME_BASE}'
         assert loop_arguments_item == loop_argument_item_name
 
-        pipeline_task_spec.parameter_iterator.items.input_parameter = (
-            input_parameter_name)
-        pipeline_task_spec.parameter_iterator.item_input = (
-            loop_argument_item_name)
+        if isinstance(group.loop_argument, for_loop.LoopParameterArgument):
+            pipeline_task_spec.parameter_iterator.items.input_parameter = (
+                input_parameter_name)
+            pipeline_task_spec.parameter_iterator.item_input = (
+                loop_argument_item_name)
+
+            _pop_input_from_task_spec(
+                task_spec=pipeline_task_spec,
+                input_name=pipeline_task_spec.parameter_iterator.item_input)
+
+        elif isinstance(group.loop_argument, for_loop.LoopArtifactArgument):
+            input_artifact_name = compiler_utils.additional_input_name_for_pipeline_channel(
+                loop_items_channel)
+
+            pipeline_task_spec.artifact_iterator.items.input_artifact = input_artifact_name
+            pipeline_task_spec.artifact_iterator.item_input = (
+                loop_argument_item_name)
+
+            _pop_input_from_task_spec(
+                task_spec=pipeline_task_spec,
+                input_name=pipeline_task_spec.artifact_iterator.item_input)
+        else:
+            raise TypeError(
+                f'Expected LoopParameterArgument or LoopArtifactArgument, got {type(group.loop_argument)}.'
+            )
 
         # If the loop items itself is a loop arguments variable, handle the
         # subvar name.
@@ -777,14 +818,14 @@ def _update_task_spec_for_loop_group(
         pipeline_task_spec.parameter_iterator.item_input = (
             input_parameter_name)
 
+        _pop_input_from_task_spec(
+            task_spec=pipeline_task_spec,
+            input_name=pipeline_task_spec.parameter_iterator.item_input)
+
     if (group.parallelism_limit > 0):
         pipeline_task_spec.iterator_policy.parallelism_limit = (
             group.parallelism_limit)
 
-    _pop_input_from_task_spec(
-        task_spec=pipeline_task_spec,
-        input_name=pipeline_task_spec.parameter_iterator.item_input)
-
 
 def _binary_operations_to_cel_conjunctive(
         operations: List[pipeline_channel.ConditionOperation]) -> str:
@@ -1290,10 +1331,11 @@ def build_spec_by_group(
 
             for channel in subgroup_input_channels:
                 # Skip 'withItems' loop arguments if it's from an inner loop.
-                if isinstance(
-                        channel,
-                    (for_loop.LoopArgument, for_loop.LoopArgumentVariable
-                    )) and channel.is_with_items_loop_argument:
+                if isinstance(channel, (
+                        for_loop.LoopParameterArgument,
+                        for_loop.LoopArtifactArgument,
+                        for_loop.LoopArgumentVariable,
+                )) and channel.is_with_items_loop_argument:
                     withitems_loop_arg_found_in_self_or_upstream = False
                     for group_name in group_name_to_parent_groups[
                             subgroup.name][::-1]:
@@ -1782,7 +1824,7 @@ def _rename_component_refs(
 def validate_pipeline_outputs_dict(
         pipeline_outputs_dict: Dict[str, pipeline_channel.PipelineChannel]):
     for channel in pipeline_outputs_dict.values():
-        if isinstance(channel, for_loop.Collected):
+        if isinstance(channel, dsl.Collected):
             # this validation doesn't apply to Collected
             continue
 
diff --git a/sdk/python/kfp/dsl/for_loop.py b/sdk/python/kfp/dsl/for_loop.py
index 14e0a427736..ea2894420ef 100644
--- a/sdk/python/kfp/dsl/for_loop.py
+++ b/sdk/python/kfp/dsl/for_loop.py
@@ -20,6 +20,9 @@
 
 ItemList = List[Union[int, float, str, Dict[str, Any]]]
 
+LOOP_ITEM_NAME_BASE = 'loop-item'
+LOOP_ITEM_PARAM_NAME_BASE = 'loop-item-param'
+
 
 def _get_loop_item_type(type_name: str) -> Optional[str]:
     """Extracts the loop item type.
@@ -64,24 +67,28 @@ def _get_subvar_type(type_name: str) -> Optional[str]:
     return match['value_type'].lstrip().rstrip() if match else None
 
 
-class LoopArgument(pipeline_channel.PipelineParameterChannel):
-    """Represents the argument that are looped over in a ParallelFor loop.
+def _make_name(code: str) -> str:
+    """Makes a name for a loop argument from a unique code."""
+    return f'{LOOP_ITEM_PARAM_NAME_BASE}-{code}'
+
+
+class LoopParameterArgument(pipeline_channel.PipelineParameterChannel):
+    """Represents the parameter arguments that are looped over in a ParallelFor
+    loop.
 
     The class shouldn't be instantiated by the end user, rather it is
     created automatically by a ParallelFor ops group.
 
-    To create a LoopArgument instance, use one of its factory methods::
+    To create a LoopParameterArgument instance, use one of its factory methods::
 
-        LoopArgument.from_pipeline_channel(...)
-        LoopArgument.from_raw_items(...)
+        LoopParameterArgument.from_pipeline_channel(...)
+        LoopParameterArgument.from_raw_items(...)
 
 
     Attributes:
         items_or_pipeline_channel: The raw items or the PipelineParameterChannel object
-            this LoopArgument is associated to.
+        this LoopParameterArgument is associated to.
     """
-    LOOP_ITEM_NAME_BASE = 'loop-item'
-    LOOP_ITEM_PARAM_NAME_BASE = 'loop-item-param'
 
     def __init__(
         self,
@@ -90,7 +97,7 @@ def __init__(
         name_override: Optional[str] = None,
         **kwargs,
     ):
-        """Initializes a LoopArguments object.
+        """Initializes a LoopParameterArgument object.
 
         Args:
             items: List of items to loop over.  If a list of dicts then, all
@@ -108,7 +115,7 @@ def __init__(
                 'be specified.')
 
         if name_override is None:
-            super().__init__(name=self._make_name(name_code), **kwargs)
+            super().__init__(name=_make_name(name_code), **kwargs)
         else:
             super().__init__(name=name_override, **kwargs)
 
@@ -149,20 +156,16 @@ def __getattr__(self, name: str):
                 subvar_name=name,
             ))
 
-    def _make_name(self, code: str):
-        """Makes a name for this loop argument from a unique code."""
-        return f'{self.LOOP_ITEM_PARAM_NAME_BASE}-{code}'
-
     @classmethod
     def from_pipeline_channel(
         cls,
         channel: pipeline_channel.PipelineParameterChannel,
-    ) -> 'LoopArgument':
-        """Creates a LoopArgument object from a PipelineParameterChannel
-        object."""
-        return LoopArgument(
+    ) -> 'LoopParameterArgument':
+        """Creates a LoopParameterArgument object from a
+        PipelineParameterChannel object."""
+        return LoopParameterArgument(
             items=channel,
-            name_override=channel.name + '-' + cls.LOOP_ITEM_NAME_BASE,
+            name_override=channel.name + '-' + LOOP_ITEM_NAME_BASE,
             task_name=channel.task_name,
             channel_type=_get_loop_item_type(channel.channel_type) or 'String',
         )
@@ -172,26 +175,89 @@ def from_raw_items(
         cls,
         raw_items: ItemList,
         name_code: str,
-    ) -> 'LoopArgument':
-        """Creates a LoopArgument object from raw item list."""
+    ) -> 'LoopParameterArgument':
+        """Creates a LoopParameterArgument object from raw item list."""
         if len(raw_items) == 0:
             raise ValueError('Got an empty item list for loop argument.')
 
-        return LoopArgument(
+        return LoopParameterArgument(
             items=raw_items,
             name_code=name_code,
             channel_type=type(raw_items[0]).__name__,
         )
 
-    @classmethod
-    def name_is_loop_argument(cls, name: str) -> bool:
-        """Returns True if the given channel name looks like a loop argument.
 
-        Either it came from a withItems loop item or withParams loop
-        item.
+class LoopArtifactArgument(pipeline_channel.PipelineArtifactChannel):
+    """Represents the artifact arguments that are looped over in a ParallelFor
+    loop.
+
+    The class shouldn't be instantiated by the end user, rather it is
+    created automatically by a ParallelFor ops group.
+
+    To create a LoopArtifactArgument instance, use the factory method::
+
+        LoopArtifactArgument.from_pipeline_channel(...)
+
+
+    Attributes:
+        pipeline_channel: The PipelineArtifactChannel object this
+            LoopArtifactArgument is associated to.
+    """
+
+    def __init__(
+        self,
+        items: pipeline_channel.PipelineArtifactChannel,
+        name_code: Optional[str] = None,
+        name_override: Optional[str] = None,
+        **kwargs,
+    ):
+        """Initializes a LoopArtifactArgument object.
+
+        Args:
+            items: The PipelineArtifactChannel object this LoopArtifactArgument is
+                associated to.
+            name_code: A unique code used to identify these loop arguments.
+                Should match the code for the ParallelFor ops_group which created
+                these LoopArtifactArguments. This prevents parameter name collisions.
+            name_override: The override name for PipelineArtifactChannel.
+            **kwargs: Any other keyword arguments passed down to PipelineArtifactChannel.
         """
-        return  ('-' + cls.LOOP_ITEM_NAME_BASE) in name \
-          or (cls.LOOP_ITEM_PARAM_NAME_BASE + '-') in name
+        if (name_code is None) == (name_override is None):
+            raise ValueError(
+                'Expect one and only one of `name_code` and `name_override` to '
+                'be specified.')
+
+        # We don't support nested lists so `is_artifact_list` is always False.
+        if name_override is None:
+            super().__init__(
+                name=_make_name(name_code), is_artifact_list=False, **kwargs)
+        else:
+            super().__init__(
+                name=name_override, is_artifact_list=False, **kwargs)
+
+        self.items_or_pipeline_channel = items
+        self.is_with_items_loop_argument = not isinstance(
+            items, pipeline_channel.PipelineArtifactChannel)
+
+    @classmethod
+    def from_pipeline_channel(
+        cls,
+        channel: pipeline_channel.PipelineArtifactChannel,
+    ) -> 'LoopArtifactArgument':
+        """Creates a LoopArtifactArgument object from a PipelineArtifactChannel
+        object."""
+        if not channel.is_artifact_list:
+            raise ValueError(
+                'Cannot iterate over a single Artifact using `dsl.ParallelFor`. Expected a list of Artifacts as argument to `items`.'
+            )
+        return LoopArtifactArgument(
+            items=channel,
+            name_override=channel.name + '-' + LOOP_ITEM_NAME_BASE,
+            task_name=channel.task_name,
+            channel_type=channel.channel_type,
+        )
+
+    # TODO: support artifact constants here.
 
 
 class LoopArgumentVariable(pipeline_channel.PipelineParameterChannel):
@@ -215,13 +281,13 @@ class LoopArgumentVariable(pipeline_channel.PipelineParameterChannel):
 
     def __init__(
         self,
-        loop_argument: LoopArgument,
+        loop_argument: LoopParameterArgument,
         subvar_name: str,
     ):
         """Initializes a LoopArgumentVariable instance.
 
         Args:
-            loop_argument: The LoopArgument object this subvariable is based on
+            loop_argument: The LoopParameterArgument object this subvariable is based on
                 a subvariable to.
             subvar_name: The name of this subvariable, which is the name of the
                 dict key that spawned this subvariable.
@@ -251,7 +317,7 @@ def __init__(
     def items_or_pipeline_channel(
             self) -> Union[ItemList, pipeline_channel.PipelineParameterChannel]:
         """Returns the loop argument items."""
-        return self.loop_argument.items_or_pipeline_chanenl
+        return self.loop_argument.items_or_pipeline_channel
 
     @property
     def is_with_items_loop_argument(self) -> bool:
@@ -301,16 +367,17 @@ def __init__(
         output: pipeline_channel.PipelineChannel,
     ) -> None:
         self.output = output
+        # we know all dsl.Collected instances are lists, so set `is_artifact_list`
+        # for type checking, which occurs before dsl.Collected is updated to
+        # it's "correct" channel during compilation
         if isinstance(output, pipeline_channel.PipelineArtifactChannel):
             channel_type = output.channel_type
             self.is_artifact_channel = True
-            # we know all dsl.Collected instances are lists, so set to true
-            # for type checking, which occurs before dsl.Collected is updated to
-            # it's "correct" channel during compilation
             self.is_artifact_list = True
         else:
             channel_type = 'LIST'
             self.is_artifact_channel = False
+            self.is_artifact_list = False
 
         super().__init__(
             output.name,
diff --git a/sdk/python/kfp/dsl/for_loop_test.py b/sdk/python/kfp/dsl/for_loop_test.py
index 7d1559c87bb..a37c5e5541a 100644
--- a/sdk/python/kfp/dsl/for_loop_test.py
+++ b/sdk/python/kfp/dsl/for_loop_test.py
@@ -19,6 +19,15 @@
 from kfp.dsl import pipeline_channel
 
 
+def name_is_loop_argument(name: str) -> bool:
+    """Returns True if the given channel name looks like a loop argument.
+
+    Either it came from a withItems loop item or withParams loop item.
+    """
+    return  ('-' + for_loop.LOOP_ITEM_NAME_BASE) in name \
+      or (for_loop.LOOP_ITEM_PARAM_NAME_BASE + '-') in name
+
+
 class ForLoopTest(parameterized.TestCase):
 
     @parameterized.parameters(
@@ -89,12 +98,63 @@ def test_get_subvar_type(self, dict_type, value_type):
                 '{{channel:task=task1;name=output1-loop-item;type=Dict[str, str];}}',
         },
     )
-    def test_loop_argument_from_pipeline_channel(self, channel,
-                                                 expected_serialization_value):
-        loop_argument = for_loop.LoopArgument.from_pipeline_channel(channel)
+    def test_loop_parameter_argument_from_pipeline_channel(
+            self, channel, expected_serialization_value):
+        loop_argument = for_loop.LoopParameterArgument.from_pipeline_channel(
+            channel)
         self.assertEqual(loop_argument.items_or_pipeline_channel, channel)
         self.assertEqual(str(loop_argument), expected_serialization_value)
 
+    @parameterized.parameters(
+        {
+            'channel':
+                pipeline_channel.PipelineArtifactChannel(
+                    name='param1',
+                    channel_type='system.Artifact@0.0.1',
+                    task_name='task1',
+                    is_artifact_list=True,
+                ),
+            'expected_serialization_value':
+                '{{channel:task=task1;name=param1-loop-item;type=system.Artifact@0.0.1;}}',
+        },
+        {
+            'channel':
+                pipeline_channel.PipelineArtifactChannel(
+                    name='output1',
+                    channel_type='system.Dataset@0.0.1',
+                    task_name='task1',
+                    is_artifact_list=True,
+                ),
+            'expected_serialization_value':
+                '{{channel:task=task1;name=output1-loop-item;type=system.Dataset@0.0.1;}}',
+        },
+    )
+    def test_loop_artifact_argument_from_pipeline_channel(
+            self, channel, expected_serialization_value):
+        loop_argument = for_loop.LoopArtifactArgument.from_pipeline_channel(
+            channel)
+        self.assertEqual(loop_argument.items_or_pipeline_channel, channel),
+        self.assertEqual(str(loop_argument), expected_serialization_value)
+
+    @parameterized.parameters(
+        {
+            'channel':
+                pipeline_channel.PipelineArtifactChannel(
+                    name='param1',
+                    channel_type='system.Artifact@0.0.1',
+                    task_name='task1',
+                    is_artifact_list=False,
+                ),
+        },)
+    def test_loop_artifact_argument_from_single_pipeline_channel_raises_error(
+            self, channel):
+        with self.assertRaisesRegex(
+                ValueError,
+                r'Cannot iterate over a single Artifact using `dsl\.ParallelFor`\. Expected a list of Artifacts as argument to `items`\.'
+        ):
+            loop_argument = for_loop.LoopArtifactArgument.from_pipeline_channel(
+                channel)
+
     @parameterized.parameters(
         {
             'raw_items': ['a', 'b', 'c'],
@@ -120,7 +180,7 @@ def test_loop_argument_from_pipeline_channel(self, channel,
     )
     def test_loop_argument_from_raw_items(self, raw_items, name_code,
                                           expected_serialization_value):
-        loop_argument = for_loop.LoopArgument.from_raw_items(
+        loop_argument = for_loop.LoopParameterArgument.from_raw_items(
             raw_items, name_code)
         self.assertEqual(loop_argument.items_or_pipeline_channel, raw_items)
         self.assertEqual(str(loop_argument), expected_serialization_value)
@@ -148,8 +208,7 @@ def test_loop_argument_from_raw_items(self, raw_items, name_code,
         },
     )
     def test_name_is_loop_argument(self, name, expected_result):
-        self.assertEqual(
-            for_loop.LoopArgument.name_is_loop_argument(name), expected_result)
+        self.assertEqual(name_is_loop_argument(name), expected_result)
 
     @parameterized.parameters(
         {
@@ -178,7 +237,7 @@ def test_name_is_loop_argument(self, name, expected_result):
         },
     )
     def test_create_loop_argument_varaible(self, subvar_name, valid):
-        loop_argument = for_loop.LoopArgument.from_pipeline_channel(
+        loop_argument = for_loop.LoopParameterArgument.from_pipeline_channel(
             pipeline_channel.PipelineParameterChannel(
                 name='param1',
                 channel_type='List[Dict[str, str]]',
diff --git a/sdk/python/kfp/dsl/pipeline_channel.py b/sdk/python/kfp/dsl/pipeline_channel.py
index 6adb52525cd..4731030709f 100644
--- a/sdk/python/kfp/dsl/pipeline_channel.py
+++ b/sdk/python/kfp/dsl/pipeline_channel.py
@@ -267,6 +267,7 @@ def __init__(
             channel_type: The type of the pipeline channel.
             task_name: Optional; the name of the task that produces the pipeline
                 channel.
+            is_artifact_list: True if `channel_type` represents a list of the artifact type.
 
         Raises:
             ValueError: If name or task_name contains invalid characters.
diff --git a/sdk/python/kfp/dsl/tasks_group.py b/sdk/python/kfp/dsl/tasks_group.py
index 3f0f758bbd3..c19fed788dc 100644
--- a/sdk/python/kfp/dsl/tasks_group.py
+++ b/sdk/python/kfp/dsl/tasks_group.py
@@ -454,20 +454,27 @@ def __init__(
             is_root=False,
         )
 
-        if isinstance(items, pipeline_channel.PipelineChannel):
-            self.loop_argument = for_loop.LoopArgument.from_pipeline_channel(
+        if isinstance(items, pipeline_channel.PipelineParameterChannel):
+            self.loop_argument = for_loop.LoopParameterArgument.from_pipeline_channel(
+                items)
+            self.items_is_pipeline_channel = True
+        elif isinstance(items, pipeline_channel.PipelineArtifactChannel):
+            self.loop_argument = for_loop.LoopArtifactArgument.from_pipeline_channel(
                 items)
             self.items_is_pipeline_channel = True
         else:
-            self.loop_argument = for_loop.LoopArgument.from_raw_items(
+            self.loop_argument = for_loop.LoopParameterArgument.from_raw_items(
                 raw_items=items,
                 name_code=pipeline_context.Pipeline.get_default_pipeline()
                 .get_next_group_id(),
             )
             self.items_is_pipeline_channel = False
+        # TODO: support artifact constants here.
 
         self.parallelism_limit = parallelism
 
-    def __enter__(self) -> for_loop.LoopArgument:
+    def __enter__(
+        self
+    ) -> Union[for_loop.LoopParameterArgument, for_loop.LoopArtifactArgument]:
         super().__enter__()
         return self.loop_argument
diff --git a/sdk/python/kfp/dsl/tasks_group_test.py b/sdk/python/kfp/dsl/tasks_group_test.py
index 40c68ab3725..92bcf505887 100644
--- a/sdk/python/kfp/dsl/tasks_group_test.py
+++ b/sdk/python/kfp/dsl/tasks_group_test.py
@@ -26,7 +26,7 @@ def test_basic(self):
         loop_items = ['pizza', 'hotdog', 'pasta']
         with pipeline_context.Pipeline('pipeline') as p:
             with tasks_group.ParallelFor(items=loop_items) as parallel_for:
-                loop_argument = for_loop.LoopArgument.from_raw_items(
+                loop_argument = for_loop.LoopParameterArgument.from_raw_items(
                     loop_items, '1')
                 self.assertEqual(parallel_for.group_type, 'for-loop')
                 self.assertEqual(parallel_for.parallelism, 0)
@@ -37,7 +37,7 @@ def test_parallelfor_valid_parallelism(self):
         with pipeline_context.Pipeline('pipeline') as p:
             with tasks_group.ParallelFor(
                     items=loop_items, parallelism=3) as parallel_for:
-                loop_argument = for_loop.LoopArgument.from_raw_items(
+                loop_argument = for_loop.LoopParameterArgument.from_raw_items(
                     loop_items, '1')
                 self.assertEqual(parallel_for.group_type, 'for-loop')
                 self.assertEqual(parallel_for.parallelism, 3)
@@ -48,7 +48,7 @@ def test_parallelfor_zero_parallelism(self):
         with pipeline_context.Pipeline('pipeline') as p:
             with tasks_group.ParallelFor(
                     items=loop_items, parallelism=0) as parallel_for:
-                loop_argument = for_loop.LoopArgument.from_raw_items(
+                loop_argument = for_loop.LoopParameterArgument.from_raw_items(
                     loop_items, '1')
                 self.assertEqual(parallel_for.group_type, 'for-loop')
                 self.assertEqual(parallel_for.parallelism, 0)
diff --git a/sdk/python/test_data/pipelines/pipeline_with_parallelfor_list_artifacts.py b/sdk/python/test_data/pipelines/pipeline_with_parallelfor_list_artifacts.py
new file mode 100644
index 00000000000..64ab75d31d5
--- /dev/null
+++ b/sdk/python/test_data/pipelines/pipeline_with_parallelfor_list_artifacts.py
@@ -0,0 +1,77 @@
+# Copyright 2024 The Kubeflow Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from typing import List
+
+from kfp import compiler
+from kfp import dsl
+from kfp.dsl import Artifact
+from kfp.dsl import Dataset
+
+
+@dsl.component
+def print_artifact_name(artifact: Artifact) -> str:
+    print(artifact.name)
+    return artifact.name
+
+
+@dsl.component
+def make_dataset(data: str) -> Dataset:
+    dataset = Dataset(uri=dsl.get_uri(), metadata={'length': len(data)})
+    with open(dataset.path, 'w') as f:
+        f.write(data)
+    return dataset
+
+
+@dsl.pipeline
+def make_datasets(
+        texts: List[str] = ['Hello', ',', ' ', 'world!']) -> List[Dataset]:
+    with dsl.ParallelFor(texts) as text:
+        t1 = make_dataset(data=text)
+
+    return dsl.Collected(t1.output)
+
+
+@dsl.component
+def make_artifact(data: str) -> Artifact:
+    artifact = Artifact(uri=dsl.get_uri(), metadata={'length': len(data)})
+    with open(artifact.path, 'w') as f:
+        f.write(data)
+    return artifact
+
+
+@dsl.pipeline
+def make_artifacts(
+        texts: List[str] = ['Hello', ',', ' ', 'world!']) -> List[Artifact]:
+    with dsl.ParallelFor(texts) as text:
+        t1 = make_artifact(data=text)
+
+    return dsl.Collected(t1.output)
+
+
+@dsl.pipeline(name='pipeline-parallelfor-artifacts')
+def my_pipeline():
+    make_artifacts_task = make_artifacts()
+    with dsl.ParallelFor(items=make_artifacts_task.output) as item:
+        print_artifact_name(artifact=item)
+
+    make_datasets_task = make_datasets()
+    with dsl.ParallelFor(items=make_datasets_task.output) as item:
+        print_artifact_name(artifact=item)
+
+
+if __name__ == '__main__':
+    compiler.Compiler().compile(
+        pipeline_func=my_pipeline,
+        package_path=__file__.replace('.py', '.yaml'))
diff --git a/sdk/python/test_data/pipelines/pipeline_with_parallelfor_list_artifacts.yaml b/sdk/python/test_data/pipelines/pipeline_with_parallelfor_list_artifacts.yaml
new file mode 100644
index 00000000000..93a4efd7160
--- /dev/null
+++ b/sdk/python/test_data/pipelines/pipeline_with_parallelfor_list_artifacts.yaml
@@ -0,0 +1,420 @@
+# PIPELINE DEFINITION
+# Name: pipeline-parallelfor-artifacts
+components:
+  comp-for-loop-1:
+    dag:
+      tasks:
+        print-artifact-name:
+          cachingOptions:
+            enableCache: true
+          componentRef:
+            name: comp-print-artifact-name
+          inputs:
+            artifacts:
+              artifact:
+                componentInputArtifact: pipelinechannel--make-artifacts-Output-loop-item
+          taskInfo:
+            name: print-artifact-name
+    inputDefinitions:
+      artifacts:
+        pipelinechannel--make-artifacts-Output:
+          artifactType:
+            schemaTitle: system.Artifact
+            schemaVersion: 0.0.1
+          isArtifactList: true
+        pipelinechannel--make-artifacts-Output-loop-item:
+          artifactType:
+            schemaTitle: system.Artifact
+            schemaVersion: 0.0.1
+  comp-for-loop-1-2:
+    dag:
+      outputs:
+        artifacts:
+          pipelinechannel--make-artifact-Output:
+            artifactSelectors:
+            - outputArtifactKey: Output
+              producerSubtask: make-artifact
+      tasks:
+        make-artifact:
+          cachingOptions:
+            enableCache: true
+          componentRef:
+            name: comp-make-artifact
+          inputs:
+            parameters:
+              data:
+                componentInputParameter: pipelinechannel--texts-loop-item
+          taskInfo:
+            name: make-artifact
+    inputDefinitions:
+      parameters:
+        pipelinechannel--texts:
+          parameterType: LIST
+        pipelinechannel--texts-loop-item:
+          parameterType: STRING
+    outputDefinitions:
+      artifacts:
+        pipelinechannel--make-artifact-Output:
+          artifactType:
+            schemaTitle: system.Artifact
+            schemaVersion: 0.0.1
+          isArtifactList: true
+  comp-for-loop-1-3:
+    dag:
+      outputs:
+        artifacts:
+          pipelinechannel--make-dataset-Output:
+            artifactSelectors:
+            - outputArtifactKey: Output
+              producerSubtask: make-dataset
+      tasks:
+        make-dataset:
+          cachingOptions:
+            enableCache: true
+          componentRef:
+            name: comp-make-dataset
+          inputs:
+            parameters:
+              data:
+                componentInputParameter: pipelinechannel--texts-loop-item
+          taskInfo:
+            name: make-dataset
+    inputDefinitions:
+      parameters:
+        pipelinechannel--texts:
+          parameterType: LIST
+        pipelinechannel--texts-loop-item:
+          parameterType: STRING
+    outputDefinitions:
+      artifacts:
+        pipelinechannel--make-dataset-Output:
+          artifactType:
+            schemaTitle: system.Dataset
+            schemaVersion: 0.0.1
+          isArtifactList: true
+  comp-for-loop-2:
+    dag:
+      tasks:
+        print-artifact-name-2:
+          cachingOptions:
+            enableCache: true
+          componentRef:
+            name: comp-print-artifact-name-2
+          inputs:
+            artifacts:
+              artifact:
+                componentInputArtifact: pipelinechannel--make-datasets-Output-loop-item
+          taskInfo:
+            name: print-artifact-name-2
+    inputDefinitions:
+      artifacts:
+        pipelinechannel--make-datasets-Output:
+          artifactType:
+            schemaTitle: system.Dataset
+            schemaVersion: 0.0.1
+          isArtifactList: true
+        pipelinechannel--make-datasets-Output-loop-item:
+          artifactType:
+            schemaTitle: system.Dataset
+            schemaVersion: 0.0.1
+  comp-make-artifact:
+    executorLabel: exec-make-artifact
+    inputDefinitions:
+      parameters:
+        data:
+          parameterType: STRING
+    outputDefinitions:
+      artifacts:
+        Output:
+          artifactType:
+            schemaTitle: system.Artifact
+            schemaVersion: 0.0.1
+  comp-make-artifacts:
+    dag:
+      outputs:
+        artifacts:
+          Output:
+            artifactSelectors:
+            - outputArtifactKey: pipelinechannel--make-artifact-Output
+              producerSubtask: for-loop-1
+      tasks:
+        for-loop-1:
+          componentRef:
+            name: comp-for-loop-1-2
+          inputs:
+            parameters:
+              pipelinechannel--texts:
+                componentInputParameter: texts
+          parameterIterator:
+            itemInput: pipelinechannel--texts-loop-item
+            items:
+              inputParameter: pipelinechannel--texts
+          taskInfo:
+            name: for-loop-1
+    inputDefinitions:
+      parameters:
+        texts:
+          defaultValue:
+          - Hello
+          - ','
+          - ' '
+          - world!
+          isOptional: true
+          parameterType: LIST
+    outputDefinitions:
+      artifacts:
+        Output:
+          artifactType:
+            schemaTitle: system.Artifact
+            schemaVersion: 0.0.1
+          isArtifactList: true
+  comp-make-dataset:
+    executorLabel: exec-make-dataset
+    inputDefinitions:
+      parameters:
+        data:
+          parameterType: STRING
+    outputDefinitions:
+      artifacts:
+        Output:
+          artifactType:
+            schemaTitle: system.Dataset
+            schemaVersion: 0.0.1
+  comp-make-datasets:
+    dag:
+      outputs:
+        artifacts:
+          Output:
+            artifactSelectors:
+            - outputArtifactKey: pipelinechannel--make-dataset-Output
+              producerSubtask: for-loop-1
+      tasks:
+        for-loop-1:
+          componentRef:
+            name: comp-for-loop-1-3
+          inputs:
+            parameters:
+              pipelinechannel--texts:
+                componentInputParameter: texts
+          parameterIterator:
+            itemInput: pipelinechannel--texts-loop-item
+            items:
+              inputParameter: pipelinechannel--texts
+          taskInfo:
+            name: for-loop-1
+    inputDefinitions:
+      parameters:
+        texts:
+          defaultValue:
+          - Hello
+          - ','
+          - ' '
+          - world!
+          isOptional: true
+          parameterType: LIST
+    outputDefinitions:
+      artifacts:
+        Output:
+          artifactType:
+            schemaTitle: system.Dataset
+            schemaVersion: 0.0.1
+          isArtifactList: true
+  comp-print-artifact-name:
+    executorLabel: exec-print-artifact-name
+    inputDefinitions:
+      artifacts:
+        artifact:
+          artifactType:
+            schemaTitle: system.Artifact
+            schemaVersion: 0.0.1
+    outputDefinitions:
+      parameters:
+        Output:
+          parameterType: STRING
+  comp-print-artifact-name-2:
+    executorLabel: exec-print-artifact-name-2
+    inputDefinitions:
+      artifacts:
+        artifact:
+          artifactType:
+            schemaTitle: system.Artifact
+            schemaVersion: 0.0.1
+    outputDefinitions:
+      parameters:
+        Output:
+          parameterType: STRING
+deploymentSpec:
+  executors:
+    exec-make-artifact:
+      container:
+        args:
+        - --executor_input
+        - '{{$}}'
+        - --function_to_execute
+        - make_artifact
+        command:
+        - sh
+        - -c
+        - "\nif ! [ -x \"$(command -v pip)\" ]; then\n    python3 -m ensurepip ||\
+          \ python3 -m ensurepip --user || apt-get install python3-pip\nfi\n\nPIP_DISABLE_PIP_VERSION_CHECK=1\
+          \ python3 -m pip install --quiet --no-warn-script-location 'kfp==2.6.0'\
+          \ '--no-deps' 'typing-extensions>=3.7.4,<5; python_version<\"3.9\"' && \"\
+          $0\" \"$@\"\n"
+        - sh
+        - -ec
+        - 'program_path=$(mktemp -d)
+
+
+          printf "%s" "$0" > "$program_path/ephemeral_component.py"
+
+          _KFP_RUNTIME=true python3 -m kfp.dsl.executor_main                         --component_module_path                         "$program_path/ephemeral_component.py"                         "$@"
+
+          '
+        - "\nimport kfp\nfrom kfp import dsl\nfrom kfp.dsl import *\nfrom typing import\
+          \ *\n\ndef make_artifact(data: str) -> Artifact:\n    artifact = Artifact(uri=dsl.get_uri(),\
+          \ metadata={'length': len(data)})\n    with open(artifact.path, 'w') as\
+          \ f:\n        f.write(data)\n    return artifact\n\n"
+        image: python:3.7
+    exec-make-dataset:
+      container:
+        args:
+        - --executor_input
+        - '{{$}}'
+        - --function_to_execute
+        - make_dataset
+        command:
+        - sh
+        - -c
+        - "\nif ! [ -x \"$(command -v pip)\" ]; then\n    python3 -m ensurepip ||\
+          \ python3 -m ensurepip --user || apt-get install python3-pip\nfi\n\nPIP_DISABLE_PIP_VERSION_CHECK=1\
+          \ python3 -m pip install --quiet --no-warn-script-location 'kfp==2.6.0'\
+          \ '--no-deps' 'typing-extensions>=3.7.4,<5; python_version<\"3.9\"' && \"\
+          $0\" \"$@\"\n"
+        - sh
+        - -ec
+        - 'program_path=$(mktemp -d)
+
+
+          printf "%s" "$0" > "$program_path/ephemeral_component.py"
+
+          _KFP_RUNTIME=true python3 -m kfp.dsl.executor_main                         --component_module_path                         "$program_path/ephemeral_component.py"                         "$@"
+
+          '
+        - "\nimport kfp\nfrom kfp import dsl\nfrom kfp.dsl import *\nfrom typing import\
+          \ *\n\ndef make_dataset(data: str) -> Dataset:\n    dataset = Dataset(uri=dsl.get_uri(),\
+          \ metadata={'length': len(data)})\n    with open(dataset.path, 'w') as f:\n\
+          \        f.write(data)\n    return dataset\n\n"
+        image: python:3.7
+    exec-print-artifact-name:
+      container:
+        args:
+        - --executor_input
+        - '{{$}}'
+        - --function_to_execute
+        - print_artifact_name
+        command:
+        - sh
+        - -c
+        - "\nif ! [ -x \"$(command -v pip)\" ]; then\n    python3 -m ensurepip ||\
+          \ python3 -m ensurepip --user || apt-get install python3-pip\nfi\n\nPIP_DISABLE_PIP_VERSION_CHECK=1\
+          \ python3 -m pip install --quiet --no-warn-script-location 'kfp==2.6.0'\
+          \ '--no-deps' 'typing-extensions>=3.7.4,<5; python_version<\"3.9\"' && \"\
+          $0\" \"$@\"\n"
+        - sh
+        - -ec
+        - 'program_path=$(mktemp -d)
+
+
+          printf "%s" "$0" > "$program_path/ephemeral_component.py"
+
+          _KFP_RUNTIME=true python3 -m kfp.dsl.executor_main                         --component_module_path                         "$program_path/ephemeral_component.py"                         "$@"
+
+          '
+        - "\nimport kfp\nfrom kfp import dsl\nfrom kfp.dsl import *\nfrom typing import\
+          \ *\n\ndef print_artifact_name(artifact: Artifact) -> str:\n    print(artifact.name)\n\
+          \    return artifact.name\n\n"
+        image: python:3.7
+    exec-print-artifact-name-2:
+      container:
+        args:
+        - --executor_input
+        - '{{$}}'
+        - --function_to_execute
+        - print_artifact_name
+        command:
+        - sh
+        - -c
+        - "\nif ! [ -x \"$(command -v pip)\" ]; then\n    python3 -m ensurepip ||\
+          \ python3 -m ensurepip --user || apt-get install python3-pip\nfi\n\nPIP_DISABLE_PIP_VERSION_CHECK=1\
+          \ python3 -m pip install --quiet --no-warn-script-location 'kfp==2.6.0'\
+          \ '--no-deps' 'typing-extensions>=3.7.4,<5; python_version<\"3.9\"' && \"\
+          $0\" \"$@\"\n"
+        - sh
+        - -ec
+        - 'program_path=$(mktemp -d)
+
+
+          printf "%s" "$0" > "$program_path/ephemeral_component.py"
+
+          _KFP_RUNTIME=true python3 -m kfp.dsl.executor_main                         --component_module_path                         "$program_path/ephemeral_component.py"                         "$@"
+
+          '
+        - "\nimport kfp\nfrom kfp import dsl\nfrom kfp.dsl import *\nfrom typing import\
+          \ *\n\ndef print_artifact_name(artifact: Artifact) -> str:\n    print(artifact.name)\n\
+          \    return artifact.name\n\n"
+        image: python:3.7
+pipelineInfo:
+  name: pipeline-parallelfor-artifacts
+root:
+  dag:
+    tasks:
+      for-loop-1:
+        artifactIterator:
+          itemInput: pipelinechannel--make-artifacts-Output-loop-item
+          items:
+            inputArtifact: pipelinechannel--make-artifacts-Output
+        componentRef:
+          name: comp-for-loop-1
+        dependentTasks:
+        - make-artifacts
+        inputs:
+          artifacts:
+            pipelinechannel--make-artifacts-Output:
+              taskOutputArtifact:
+                outputArtifactKey: Output
+                producerTask: make-artifacts
+        taskInfo:
+          name: for-loop-1
+      for-loop-2:
+        artifactIterator:
+          itemInput: pipelinechannel--make-datasets-Output-loop-item
+          items:
+            inputArtifact: pipelinechannel--make-datasets-Output
+        componentRef:
+          name: comp-for-loop-2
+        dependentTasks:
+        - make-datasets
+        inputs:
+          artifacts:
+            pipelinechannel--make-datasets-Output:
+              taskOutputArtifact:
+                outputArtifactKey: Output
+                producerTask: make-datasets
+        taskInfo:
+          name: for-loop-2
+      make-artifacts:
+        cachingOptions:
+          enableCache: true
+        componentRef:
+          name: comp-make-artifacts
+        taskInfo:
+          name: make-artifacts
+      make-datasets:
+        cachingOptions:
+          enableCache: true
+        componentRef:
+          name: comp-make-datasets
+        taskInfo:
+          name: make-datasets
+schemaVersion: 2.1.0
+sdkVersion: kfp-2.6.0
diff --git a/sdk/python/test_data/test_data_config.yaml b/sdk/python/test_data/test_data_config.yaml
index dc8b23ba6cc..ddfa0802f53 100644
--- a/sdk/python/test_data/test_data_config.yaml
+++ b/sdk/python/test_data/test_data_config.yaml
@@ -192,6 +192,9 @@ pipelines:
     - module: cross_loop_after_topology
       name: my_pipeline
       execute: false
+    - module: pipeline_with_parallelfor_list_artifacts
+      name: my_pipeline
+      execute: false
 components:
   test_data_dir: sdk/python/test_data/components
   read: true