# MLOPTPSU/FedTorch

<https://repo.masters-masters.com/en/repos/MLOPTPSU/FedTorch>

[Home](https://repo.masters-masters.com/en) › [MLOPTPSU](https://repo.masters-masters.com/en/owners/MLOPTPSU) › [FedTorch](https://repo.masters-masters.com/en/repos/MLOPTPSU/FedTorch)

MLOPTPSU/FedTorch has 193 stars on GitHub. Its RepoMasters card: Prototype tier. FedTorch is a generic repository for benchmarking different federated and…

| Field | Value |
| --- | --- |
| Owner | [MLOPTPSU](https://repo.masters-masters.com/en/owners/MLOPTPSU) |
| Stars | 193 |
| Forks | 35 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-2.0 |
| Created | 2020 |
| Topics | federated-learning, distributed-optimization, distributed, pytorch, mpi |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [MLOPTPSU/FedTorch](https://github.com/MLOPTPSU/FedTorch) |

## Repository

FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Python

- [appletea233/OneSearch-VL · ★ 193 · Python · Prototype](https://repo.masters-masters.com/en/repos/appletea233/OneSearch-VL)
- [datalab-to/omni\_parse\_bench · ★ 193 · Python · Prototype](https://repo.masters-masters.com/en/repos/datalab-to/omni_parse_bench)
- [tencentmusic/modus · ★ 193 · Python · Prototype](https://repo.masters-masters.com/en/repos/tencentmusic/modus)
- [charleso/git-cc · ★ 193 · Python · Prototype](https://repo.masters-masters.com/en/repos/charleso/git-cc)
- [Becksteinlab/GromacsWrapper · ★ 193 · Python · Prototype](https://repo.masters-masters.com/en/repos/Becksteinlab/GromacsWrapper)
- [coderanger/pychef · ★ 193 · Python · Prototype](https://repo.masters-masters.com/en/repos/coderanger/pychef)

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