# weimingwill/awesome-federated-learning

<https://repo.masters-masters.com/en/repos/weimingwill/awesome-federated-learning>

[Home](https://repo.masters-masters.com/en) › [weimingwill](https://repo.masters-masters.com/en/owners/weimingwill) › [awesome-federated-learning](https://repo.masters-masters.com/en/repos/weimingwill/awesome-federated-learning)

weimingwill/awesome-federated-learning has 737 stars on GitHub. Its RepoMasters card: Beta tier. All materials you need for Federated Learning: blogs, videos…

| Field | Value |
| --- | --- |
| Owner | [weimingwill](https://repo.masters-masters.com/en/owners/weimingwill) |
| Stars | 737 |
| Forks | 98 |
| Language | [Shell](https://repo.masters-masters.com/en/languages/shell) |
| License | MIT |
| Created | 2019 |
| Topics | federated-learning, machine-learning, data-privacy, communication-efficiency, federated-optimization, differential-privacy-deep-learning, distributed-optimization, federated-learning-framework, privacy, meta-learning |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [weimingwill/awesome-federated-learning](https://github.com/weimingwill/awesome-federated-learning) |

## Repository

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.