# yjlee22/FedShare

<https://repo.masters-masters.com/en/repos/yjlee22/FedShare>

[Home](https://repo.masters-masters.com/en) › [yjlee22](https://repo.masters-masters.com/en/owners/yjlee22) › [FedShare](https://repo.masters-masters.com/en/repos/yjlee22/FedShare)

yjlee22/FedShare has 123 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation of Federated Learning with Non-IID Data, and federated…

| Field | Value |
| --- | --- |
| Owner | [yjlee22](https://repo.masters-masters.com/en/owners/yjlee22) |
| Stars | 123 |
| Forks | 25 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | federated-learning, pytorch, optimization |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [yjlee22/FedShare](https://github.com/yjlee22/FedShare) |

## Repository

PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.

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

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