youngfish42/Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
This resource helps researchers, academics, and practitioners quickly find relevant information on federated learning. It compiles an extensive list of academic papers, frameworks, datasets, tutorials, and workshops, organized by categories like AI, ML, Computer Vision, and more. Anyone engaged in academic research or practical application of federated learning would find this valuable for literature reviews or staying updated.
1,955 stars. No commits in the last 6 months.
Use this if you are an academic researcher, PhD student, or industry practitioner looking for a comprehensive, categorized bibliography of federated learning research and related resources.
Not ideal if you are looking for an introductory guide to federated learning or a simple overview of its concepts, as this resource focuses on detailed academic publications.
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Python
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CC-BY-SA-4.0
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Last pushed
Oct 05, 2025
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