chaoyanghe/Awesome-Federated-Learning
An awesome list of federated learning research papers organized from Arxiv and top ML conferences.
Not currently ranked — collecting fresh signals.
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This repository curates federated learning publications covering optimization algorithms, privacy mechanisms, non-IID data handling, communication efficiency, and applications in computer vision and NLP. It references the FedML library (https://fedml.ai) and organizes research from major venues like ICML, NeurIPS, ICLR, and CVPR. The list serves as a comprehensive reference for federated learning foundations and recent advances.
Frequently asked
- What is chaoyanghe/Awesome-Federated-Learning?
- An awesome list of federated learning research papers organized from Arxiv and top ML conferences.
- Is Awesome-Federated-Learning open source?
- Yes — chaoyanghe/Awesome-Federated-Learning is an open-source project tracked on heatdrop.
- How popular is Awesome-Federated-Learning?
- chaoyanghe/Awesome-Federated-Learning has 2k stars on GitHub.
- Where can I find Awesome-Federated-Learning?
- chaoyanghe/Awesome-Federated-Learning is on GitHub at https://github.com/chaoyanghe/Awesome-Federated-Learning.