Heterogeneous Federated Learning: State-of-the-art and Research Challenges

[ACM Computing Survey 2025] Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey, by MARS Group at Wuhan University.

TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

Benchmark of federated learning. Dedicated to the community. 🤗

联邦学习

Paper notes and code for differentially private machine learning

✨✨A curated list of latest advances on Large Foundation Models with Federated Learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

An open-source framework for machine learning and other computations on decentralized data.

An Open Framework for Federated Learning.

📚 👓 A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

Flower: A Friendly Federated AI Framework

resources about federated learning and privacy in machine learning

A curated list of trustworthy deep learning papers. Daily updating...

Materials about Privacy-Preserving Machine Learning

Repository for collection of research papers on privacy.

Master Federated Learning in 2 Hours—Run It on Your PC!

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

A collection of Google research projects related to Federated Learning and Federated Analytics.

An experimental platform for federated learning.

ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal proce…

resources for graph convolutional networks （图卷积神经网络相关资源）