# AshwinRJ/Federated-Learning-PyTorch

<https://repo.masters-masters.com/en/repos/AshwinRJ/Federated-Learning-PyTorch>

[Home](https://repo.masters-masters.com/en) › [AshwinRJ](https://repo.masters-masters.com/en/owners/AshwinRJ) › [Federated-Learning-PyTorch](https://repo.masters-masters.com/en/repos/AshwinRJ/Federated-Learning-PyTorch)

AshwinRJ/Federated-Learning-PyTorch has 1,441 stars on GitHub. Its RepoMasters card: Beta tier. Implementation of Communication-Efficient Learning of Deep…

| Field | Value |
| --- | --- |
| Owner | [AshwinRJ](https://repo.masters-masters.com/en/owners/AshwinRJ) |
| Stars | 1,441 |
| Forks | 459 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | federated-learning, distributed-computing, deep-learning, pytorch, python |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [AshwinRJ/Federated-Learning-PyTorch](https://github.com/AshwinRJ/Federated-Learning-PyTorch) |

## Repository

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

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.