Robust_FL

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# Robust Heterogeneous Federated Learning

This repository provides resources for the following papers:

> [**Robust Federated Learning with Noisy and Heterogeneous Client**](https://openaccess.thecvf.com/content/CVPR2022/html/Fang_Robust_Federated_Learning_With_Noisy_and_Heterogeneous_Clients_CVPR_2022_paper.html) 
> 
> Xiuwen Fang, [Mang Ye](https://marswhu.github.io/index.html) *CVPR 2022*
> 
> [**Noise-Robust Federated Learning With Model Heterogeneous Clients**](https://ieeexplore.ieee.org/abstract/document/10816157)
> 
> Xiuwen Fang, [Mang Ye](https://marswhu.github.io/index.html) *IEEE TMC*

# [Dependencies installation](#contents)

```bash
conda create -n rhfl python=3.8
conda activate rhfl

git clone https://github.com/FangXiuwen/Robust_FL.git
cd Robust_FL
pip install -r requirements.txt
```

# [Citation](#contents)

```citation
@inproceedings{fang2022robust,
  title={Robust Federated Learning With Noisy and Heterogeneous Clients},
  author={Fang, Xiuwen and Ye, Mang},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={10072--10081},
  year={2022}
}

@article{fang2024noise,
  title={Noise-Robust Federated Learning With Model Heterogeneous Clients},
  author={Fang, Xiuwen and Ye, Mang},
  journal={IEEE Transactions on Mobile Computing},
  year={2024},
  publisher={IEEE}
}
```

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