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All Projects → balanced-fl → Addressing-Class-Imbalance-FL

balanced-fl / Addressing-Class-Imbalance-FL

Licence: other
This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

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python
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Labels

machine-learningclass-imbalanceloss-functionsfederated-learningimbalance-classificationneural-network-training

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Addressing Class Imbalance in Federated Learning

This is the code for our AAAI-2021 paper: Addressing Class Imbalance in Federated Learning.

Run the code

To run the monitoring scheme, you can

cd ./FEMNIST-monitor/
python3 main_nn.py

To load different loss functions on federated learning, you can

cd ./FEMNIST-4-Losses/
python3 main_nn.py --loss ce/focal/ratio/ghm

Citation

If you find our work is helpful for your research, please cite our paper.

@inproceedings{wang2021addressing,
  title={Addressing Class Imbalance in Federated Learning},
  author={Wang, Lixu and Xu, Shichao and Wang, Xiao and Zhu, Qi},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={35},
  number={11},
  pages={10165--10173},
  year={2021}
}
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