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Personalized federated learning codebase for research

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

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

Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)

PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning

PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach

Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)

(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)

[NeurIPS 2023] Adaptive Test-Time Personalization for Federated Learning. Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He.

[ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.

PyTorch Implementation of Federated Reconstruction: Partially Local Federated Learning

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SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence

[ACSAC '24] FedCAP: Robust Federated Learning via Customized Aggregation and Personalization

[AAAI 2025] Flexible Sharpness-Aware Personalized Federated Learning

Code repository for the paper: Personalized Federated Learning for Predicting Disability Progression in Multiple Sclerosis Using Real-World Routine Clinical Data

Personalized Federated Learning with Parameter Propagation

Exploring Different Personalization Mechanisms for Federated Time Series Forecasting. Paper DOI: 10.1109/JIOT.2025.3580378

Assessing Academic Performance: Personalized Federated Learning for Identifying Overperforming and Underperforming Schools and Individual-Level Implications

FeadSeq: A Federated Unsupervised Anomaly Detection Framework for Discrete Event Sequences

[IEEE TBME Featured Article] PyTorch Implementation for 'Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery'

Official Repository for The Paper, AutoFed: Manual-Free Federated Traffic Prediction via Personalized Prompt