youngfish42 / Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Why this job: name: awesome; topics: awesome
What it does
We use another project to automatically track updates to FL papers, click on FL-paper-update-tracker if you need it.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 22 days ago
- Stars
- 2,019
- On GitHub
- Licence
- CC-BY-SA-4.0
- Read the terms
- Downloads for
- None listed
- No release files
- Latest version
- v1.1-alpha
- Released 6 months ago
- Built with
- Python
- 82% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 28 merged
- 2 waiting
- Releases
- 7
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| r0f1 / datascience | 4,690 | 11 days ago | CC0-1.0 | No downloads |
| shanmukh05 / Machine-Learning-Roadmap | 534 | 19 days ago | MIT | No downloads |
| openvinotoolkit / openvino_notebooks | 3,234 | 4 days ago | Apache-2.0 | No downloads |
More: languages, topics, project record and preview image
Languages
- Python 82%
- HTML 18%
Topics
- awesome
- deep-learning
- federated-learning
- graph-neural-networks
- machine-learning
- tabular-data
- federated-learning-framework
- computer-vision
- knowledge-graph
- paper
- security
- natural-language-processing
Project record
- JobLists and guides
- StatusListed
- Commits575
- Forks227
- Watching47
- Stars in 28 days+4
- CreatedMay 21, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
