youngfish42/Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
- Stars
- 2.0k
- Forks
- 225
- Open issues
- 0
- Last push
- 5d ago
About Awesome-FL
Awesome-FL is a free, open-source AI resource list by youngfish42, written mainly in Python. Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops). It has 2.0k GitHub stars and 225 forks, and was last updated 5d ago. It uses the CC-BY-SA-4.0 license; check its terms before commercial use.
- License
- CC-BY-SA-4.0
- Language
- Python
- Stars
- 2,021
- Last update
- 5d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Awesome-FL FAQ
Is Awesome-FL free?
Yes. Awesome-FL is open source and free to use. It uses the CC-BY-SA-4.0 license; check its terms before commercial use.
Does Awesome-FL run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Awesome-FL need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Awesome-FL still maintained?
Yes. It was last updated 5d ago and has 0 open issues on GitHub.
What are alternatives to Awesome-FL?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, CVPR2026-Papers-with-Code, anomaly-detection-resources, RuView.