# WenkeHuang/FCCL

<https://repo.masters-masters.com/en/repos/WenkeHuang/FCCL>

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

WenkeHuang/FCCL has 109 stars on GitHub. Its RepoMasters card: Prototype tier. TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation…

| Field | Value |
| --- | --- |
| Owner | [WenkeHuang](https://repo.masters-masters.com/en/owners/WenkeHuang) |
| Stars | 109 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [WenkeHuang/FCCL](https://github.com/WenkeHuang/FCCL) |

## Repository

TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and Be Yourself in Heterogeneous Federated Learning

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

## More repos by WenkeHuang

- [WenkeHuang/RethinkFL · ★ 118 · Python · Prototype](https://repo.masters-masters.com/en/repos/WenkeHuang/RethinkFL)
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- [WenkeHuang/Awesome-MLLM-Tuning · ★ 102 · Prototype](https://repo.masters-masters.com/en/repos/WenkeHuang/Awesome-MLLM-Tuning)

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