Roadmap for Fling

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Algorithms:

• FedAMP — Personalized Cross-Silo Federated Learning on non-IID Data AAAI 2021
  Feature(wxh): Add FedAMP algo and fix bugs. #25
• FedPHP — FedPHP: Federated Personalization with Inherited Private Models ECML PKDD 2021
• APPLE — Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning IJCAI 2022
• FedALA — FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023
• FedRep — Exploiting Shared Representations for Personalized Federated Learning ICML 2021
• FedBABU — Fedbabu: Towards enhanced representation for federated image classification ICLR 2022
• FedGC — Federated Learning for Face Recognition with Gradient Correction AAAI 2022
• FedCP — FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy KDD 2023
• GPFL — GPFL: Simultaneously Learning Generic and Personalized Feature Information for Personalized Federated Learning ICCV 2023
• MOON — Model Contrastive Federated Learning CVPR 2021 feature(gwk): add FedMOON algo #26

Scenario

• Cross domain. feature(hx): add domainnet dataset #36

System Design

• Publish python package.
• CI/CD + test pipeline.
• Enhanced documents. doc(gwk): upload visualization doc #52
• Chense doc: doc(gwk): polish English doc and upload Chinese doc #23

Visualization Tools

• Single loss-landscape visualizer and hessian eigen value analysis. feature(whl): add single loss landscape visualizer #37
• Activation maximization method. feature(whl): add activation maximization #42

Dataset

• Mini-ImageNet. feature(whl): add mini-imagenet dataset. #27
• ImageNet. feature(whl): Add ImageNet dataset. #28 feature(whl): add lmdb support for imagenet dataset #30
• AG-NEWS dataset (NLP classification task) feature(whl): add ag_news dataset. #31