Benchmark of federated learning. Dedicated to the community. 🤗
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Updated
Aug 14, 2024 - Python
Benchmark of federated learning. Dedicated to the community. 🤗
Personalized federated learning codebase for research
Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
联邦学习模块化框架,支持各类FL。A universal federated learning framework, free to switch thread and process modes
PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning
Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)
[ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.
[NeurIPS 2023] Adaptive Test-Time Personalization for Federated Learning. Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He.
PyTorch Implementation of Federated Reconstruction: Partially Local Federated Learning
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
Personalized Federated Learning with Parameter Propagation
Assessing Academic Performance: Personalized Federated Learning for Identifying Overperforming and Underperforming Schools and Individual-Level Implications
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