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Robust Heterogeneous Federated Learning

This repository provides resources for the following papers:

Robust Federated Learning with Noisy and Heterogeneous Client

Xiuwen Fang, Mang Ye CVPR 2022

Noise-Robust Federated Learning With Model Heterogeneous Clients

Xiuwen Fang, Mang Ye IEEE TMC

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
@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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