This is an official implementation for Data Valuation and Detections in Federated Learning (https://arxiv.org/abs/2311.05304)

You can follow the example of cifar10_fed.ipynb

If you use our code and find it useful, please cite

@article{li2023data,
  title={Data Valuation and Detections in Federated Learning},
  author={Li, Wenqian and Fu, Shuran and Zhang, Fengrui and Pang, Yan},
  journal={arXiv preprint arXiv:2311.05304},
  year={2023}
}

@article{li2024private,
  title={Private Wasserstein Distance},
  author={Li, Wenqian and Pang, Yan},
  journal={arXiv preprint arXiv:2404.06787},
  year={2024}
}