# TsingZ0/HtFLlib

<https://repo.masters-masters.com/en/repos/TsingZ0/HtFLlib>

[Home](https://repo.masters-masters.com/en) › [TsingZ0](https://repo.masters-masters.com/en/owners/TsingZ0) › [HtFLlib](https://repo.masters-masters.com/en/repos/TsingZ0/HtFLlib)

TsingZ0/HtFLlib has 249 stars on GitHub. Its RepoMasters card: Prototype tier. You only need to configure one file to support model heterogeneity. Consistent…

| Field | Value |
| --- | --- |
| Owner | [TsingZ0](https://repo.masters-masters.com/en/owners/TsingZ0) |
| Stars | 249 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | colloboration, data-free, evaluation, federated-learning, heterogeneity, library, platform, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [TsingZ0/HtFLlib](https://github.com/TsingZ0/HtFLlib) |

## Repository

You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.

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.