/MOTdata

Implementation of FedBary

Primary LanguagePythonMIT LicenseMIT

2024.4.10 The code for ``Private Wasserstein Distance with Random Noises'' is still under development.

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}
}