took out some unsupported algos

aidecentralized · Aug 25, 2024 · c9726c7 · c9726c7
1 parent 42ca039
commit c9726c7
Showing 1 changed file with 0 additions and 86 deletions.
diff --git a/src/configs/algo_config.py b/src/configs/algo_config.py
@@ -62,92 +62,6 @@
     "exp_keys": [],
 }
 
-
-feddatarepr: ConfigType = {
-    "algo": "feddatarepr",
-    "exp_id": "test5",
-    "num_rep": 1,
-    "load_existing": False,
-
-    # Similarity params
-    "representation": "train_data", # "test_data", "train_data", "dreams"
-    "num_repr_samples": 16,
-    # "CTLR_KL" Collaborator is Teacher using Learner Representation 
-    # "CTCR_KL" Collaborator is Teacher using Collaborator Representation - Default row
-    # "LTLR_KL" Collaborator is Learner using Learner Representation - Default column
-    # "CTAR_KL" Collaborator is Teacher using ALL Representations (from every other client)
-    # "train_loss_inv" : 1-loss/total
-    # "train_loss_sm": 1-softmax(losses) 
-    "similarity_metric": "train_loss_inv",
-
-    # Memory params
-    "sim_running_average": 10,
-    "sim_exclude_first": (5, 5), # (first rounds, first rounds after T0)
-
-    # Clients selection
-    "target_users_before_T_0": 0, #feddatarepr_clients-1,
-    "target_users_after_T_0": 1,
-    "T_0": 10,   # round after wich only target_users_after_T_0 peers are kept
-    # highest, lowest, [lower_exp]_sim_sampling, top_x, xth, uniform_rdm
-    "selection_strategy": "uniform_rdm",#"uniform_rdm", 
-    #"eps_greedy": 0.1,
-    # "num_clients_top_x" : 1, # Ideally: size community-1
-    # "selection_temperature": 0.5, # For all strategy with temperature
-
-
-    # Consensus params
-    # "sim_averaging", "sim_of_sim", "vote_1hop", "affinity_propagation_clustering", "mean_shift_clustering", "club"
-    "consensus":"mean_shift_clustering",# "affinity_propagation_clustering",
-    # "affinity_precomputed": False, # If False similarity row are treated as data points and not as similarity values    
-    # "club_weak_link_strategy": "own_cluster_and_pointing_to", #"own_cluster_and_pointing_to", pointing_to, own_cluster
-    # "vote_consensus": (2,2), #( num_voter, num_vote_per_voter)
-    # "sim_consensus_top_a": 3,
-
-    #"community_type": "dataset", 
-    #"num_communities": len(domainnet_classes),
-
-    # Learning setup
-    "warmup_epochs": 5,
-    "epochs_per_round": 5,
-    "rounds_per_selection": 1, # Number of rounds before selecting new collaborator(s)
-    "rounds": 210, 
-    "model": "resnet10",
-    "average_last_layer": True,
-    "mask_finetune_last_layer": False,
-    "model_lr": 1e-4, 
-    "batch_size": 16,
-
-    # Dreams params
-    # "reprs_position": 0,
-    # "inp_shape": [3, 32, 32] , 
-    # "inv_lr": 1e-1, 
-    # "inv_epochs": 500, 
-    # "alpha_preds": 0.1, 
-    # "alpha_tv": 2.5e-3, 
-    # "alpha_l2": 1e-7, 
-    # "alpha_f": 10.0,
-    #"dreams_keep_best": False, # Use reprs with lowest loss 
-
-    "exp_keys": ["similarity_metric", "selection_strategy", "consensus"]
-}
-defkt: ConfigType = {
-    "algo": "defkt",
-    "exp_id": "defkt_test9",
-    "central_client": 1,
-    "mask_last_layer": False,
-    "fine_tune_last_layer": False,
-    "epochs_per_round": 5,
-    "rounds": 10,
-    "epochs": 10,
-    "model": "resnet10",
-    "model_lr": 1e-4,
-    "batch_size": 16,
-    "num_teachers": 1,
-    # params for model
-    "position": 0,
-    "inp_shape": [128, 3, 32, 32],
-}
-
 defkt: ConfigType = {
     "algo": "defkt",
     "exp_id": "defkt_test9",