lokinko/Federated-Learning resource
联邦学习 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 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2142
- days_rel: n/a
- days_push: 1268
- n_releases_24m: 0
Adoption not part of the score
1149 stars · 201 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated collection of federated learning resources, including introductory materials, survey papers, and research articles on privacy-preserving distributed machine learning. It serves primarily as a reading list rather than runnable software.
Use cases
- learn federated learning from scratch
- find survey papers on federated learning
- research privacy-preserving distributed machine learning
- find papers on federated learning for IoT and edge computing
- get started with decentralized model training
- study federated learning security threats and personalization techniques
When to choose
- you want a curated reading list of federated learning papers and tutorials
- you are researching the state of the art in privacy-preserving distributed ML
- you need references for a paper or course on federated learning
When to avoid
- you need a working federated learning framework to run experiments
- you want production-ready code with active maintenance
- you need a library with APIs rather than a paper collection
Facets
learning-resource · maturity maintenance
machine-learning deep-learning machine-learning privacy tutorials awesome-lists cross-platform federated-learning paper-collection privacy-preserving-ml curated-list distributed-training
1 source
- readme: https://github.com/lokinko/Federated-Learning · fetched 2026-08-28 · 854add75a70f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| lokinko/Federated-Learning | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="lokinko/Federated-Learning")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem