chaoyanghe/Awesome-Federated-Learning resource
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2252
- days_rel: n/a
- days_push: 1460
- n_releases_24m: 0
Adoption not part of the score
2016 stars · 332 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated awesome-list of federated learning research publications organized by venue, problem, and method, maintained as part of the FedML project. It catalogs papers on topics like non-IID data, communication efficiency, privacy, and personalization.
Use cases
- find federated learning papers on non-IID data
- survey recent federated learning research
- learn about communication-efficient distributed training
- research privacy-preserving machine learning
- find papers on personalized federated learning
- prepare a literature review on distributed optimization
When to choose
- you need a curated reading list of federated learning publications
- you are surveying state-of-the-art FL methods by problem area
- you want pointers to top-tier conference papers on distributed ML
When to avoid
- you need a runnable federated learning framework rather than a paper list
- you need actively updated content - the list moved to the FedML repository
- you need production federated learning tooling
Facets
learning-resource · maturity maintenance
machine-learning developer-tools machine-learning privacy microservices awesome-lists cross-platform federated-learning awesome-list curated-papers non-iid privacy-preserving-ml
1 source
- readme: https://github.com/chaoyanghe/Awesome-Federated-Learning · fetched 2026-08-28 · 0aadaba06005
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| chaoyanghe/Awesome-Federated-Learning | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="chaoyanghe/Awesome-Federated-Learning")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem