# JYWa/FedNova

<https://repo.masters-masters.com/en/repos/JYWa/FedNova>

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

JYWa/FedNova has 231 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated…

| Field | Value |
| --- | --- |
| Owner | [JYWa](https://repo.masters-masters.com/en/owners/JYWa) |
| Stars | 231 |
| Forks | 35 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | federated-learning, optimization, pytorch, fedavg |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [JYWa/FedNova](https://github.com/JYWa/FedNova) |

## Repository

PyTorch implementation of FedNova (NeurIPS 2020), and a class of 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.