Ross ROSS = Recommend OSS · open-source software intelligence for agents

chaoyanghe/Awesome-Federated-Learning resource

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai observed · 2026-08-28

github.com/chaoyanghe/Awesome-Federated-Learning 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
chaoyanghe/Awesome-Federated-Learningmain32

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