#13 · Primary category: Privacy-Preserving & Federated Data Science
Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Project last updated:05/20/26
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Why we included this project
Federated learning has a scattered literature, and this curated index does the sorting for you. Papers from top-tier venues are grouped by research area, so you can quickly see what has been published on federated approaches in computer vision, NLP, security, systems, and other fields. The collection also covers frameworks, datasets, surveys, tutorials, and workshop calls, which helps both when you are scoping a literature review and when you want to pick a library to experiment with. A companion tracker automatically monitors new federated learning publications, so the list stays reasonably current. For anyone weighing federated learning for a privacy-sensitive project, this is a good place to start.
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