Merge branch 'main' of https://github.com/youngfish42/Awesome-FL

youngfish42 · Jun 7, 2024 · 77963e6 · 77963e6
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diff --git a/README.md b/README.md
@@ -2113,7 +2113,7 @@ This section refers to [DBLP](https://dblp.org/search?q=federate%20tree%7Cboost%
 | [KubeFATE](https://github.com/FederatedAI/KubeFATE)<br />[![Stars](https://img.shields.io/github/stars/FederatedAI/KubeFATE.svg?color=blue)](https://github.com/FederatedAI/KubeFATE/stargazers)<br />![](https://img.shields.io/github/last-commit/FederatedAI/KubeFATE) |  | [WeBank](https://fedai.org/) |  |  | [[WIKI](https://github.com/FederatedAI/KubeFATE/wiki/#faqs)] |
 | [FedScale](https://github.com/SymbioticLab/FedScale)<br />[![Stars](https://img.shields.io/github/stars/SymbioticLab/FedScale.svg?color=blue)](https://github.com/SymbioticLab/FedScale/stargazers)<br />![](https://img.shields.io/github/last-commit/SymbioticLab/FedScale) | [FedScale: Benchmarking Model and System Performance of Federated Learning at Scale](https://arxiv.org/abs/2105.11367.pdf) | [SymbioticLab(U-M)](https://symbioticlab.org/) |  |  |  |
 | [Differentially Private Federated Learning: A Client-level Perspective](https://github.com/SAP-samples/machine-learning-diff-private-federated-learning) <br />[![Stars](https://img.shields.io/github/stars/SAP-samples/machine-learning-diff-private-federated-learning.svg?color=blue)](https://github.comSAP-samples/machine-learning-diff-private-federated-learning/stargazers)<br />![](https://img.shields.io/github/last-commit/SAP-samples/machine-learning-diff-private-federated-learning) | [Differentially Private Federated Learning: A Client Level Perspective](https://arxiv.org/abs/1712.07557) | [SAP-samples](https://github.com/SAP-samples) |  |  |  |
-| [PersonalizedFL](https://github.com/microsoft/PersonalizedFL)<br />[![Stars](https://img.shields.io/github/stars/microsoft/PersonalizedFL.svg?color=blue)](https://github.com/microsoft/PersonalizedFL/stargazers)<br />![img](https://img.shields.io/github/last-commit/microsoft/PersonalizedFL) |  | microsoft | | | |
+| [PersonalizedFL](https://github.com/microsoft/PersonalizedFL)<br />[![Stars](https://img.shields.io/github/stars/microsoft/PersonalizedFL.svg?color=blue)](https://github.com/microsoft/PersonalizedFL/stargazers)<br />![img](https://img.shields.io/github/last-commit/microsoft/PersonalizedFL) |  | microsoft |  |  |  |
 | [plato](https://github.com/TL-System/plato)<br />[![Stars](https://img.shields.io/github/stars/TL-System/plato.svg?color=blue)](https://github.com/TL-System/plato/stargazers)<br />![](https://img.shields.io/github/last-commit/TL-System/plato) | [Plato: An Open-Source Research Framework for Production Federated Learning](https://dl.acm.org/doi/10.1145/3603165.3607364) | UofT |  |  |  |
 | [Backdoors 101](https://github.com/ebagdasa/backdoors101)<br />[![Stars](https://img.shields.io/github/stars/ebagdasa/backdoors101.svg?color=blue)](https://github.com/ebagdasa/backdoors101/stargazers)<br />![](https://img.shields.io/github/last-commit/ebagdasa/backdoors101) | [Blind Backdoors in Deep Learning Models](https://arxiv.org/abs/2005.03823) | Cornell Tech |  |  |  |
 | [SWARM LEARNING](https://github.com/HewlettPackard/swarm-learning) <br />[![Stars](https://img.shields.io/github/stars/HewlettPackard/swarm-learning.svg?color=blue)](https://github.com/HewlettPackard/swarm-learning/stargazers)<br />![](https://img.shields.io/github/last-commit/HewlettPackard/swarm-learning) | [Swarm Learning for decentralized and confidential clinical machine learning](https://www.nature.com/articles/s41586-021-03583-3) |  |  |  | [[VIDEO](https://github.com/HewlettPackard/swarm-learning/blob/master/docs/videos.md)] |

diff --git a/data.yaml b/data.yaml
@@ -12861,6 +12861,13 @@ federated-learning-framework:
     sg: ''
     st: ''
     materials: {}
+  - platform: '[PersonalizedFL](https://github.com/microsoft/PersonalizedFL)<br />[![Stars](https://img.shields.io/github/stars/microsoft/PersonalizedFL.svg?color=blue)](https://github.com/microsoft/PersonalizedFL/stargazers)<br
+      />![img](https://img.shields.io/github/last-commit/microsoft/PersonalizedFL)'
+    papers: ''
+    affiliations: microsoft
+    sg: ''
+    st: ''
+    materials: {}
   - platform: '[plato](https://github.com/TL-System/plato)<br />[![Stars](https://img.shields.io/github/stars/TL-System/plato.svg?color=blue)](https://github.com/TL-System/plato/stargazers)<br
       />![](https://img.shields.io/github/last-commit/TL-System/plato)'
     papers: '[Plato: An Open-Source Research Framework for Production Federated Learning](https://dl.acm.org/doi/10.1145/3603165.3607364)'