Federated Learning with Differential Privacy

Citation

If you find "federated learning with DP" useful in your research, please consider citing:

@ARTICLE{Wei2020Fed,
author={Kang Wei and Jun Li and Ming Ding and Chuan Ma 
    and Howard H. Yang and Farhad Farokhi and Shi Jin
    and Tony Q. S. Quek and H. Vincent Poor},
journal={{IEEE} Transactions on Information Forensics and Security},
title={Federated Learning with Differential Privacy: {Algorithms} and Performance Analysis},
year={2020},
volume={15},
number={},
pages={3454-3469},}

@ARTICLE{Ma202On,
author={C. {Ma} and J. {Li} and M. {Ding} and H. H. {Yang} and F. {Shu} and T. Q. S. {Quek} and H. V. {Poor}},
title={On Safeguarding Privacy and Security in the Framework of Federated Learning},
journal   = {{IEEE} Network},
volume    = {34},
number    = {4},
pages     = {242-248},
year      = {2020},}

Prerequisites

Python 3.6
Torch 1.5.1

Models&Data

Training

Description