/Federated_learning_with_local_differential_privacy

Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.

Primary LanguagePython

Federated Learning with Local Differential Privacy

Citation

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

@ARTICLE{Wei2021User,
author={K. {Wei} and J. {Li} and M. {Ding} and C. {Ma} and H. {Su} and B. {Zhang} and H. V. {Poor}},
journal={IEEE Transactions on Mobile Computing}, 
title={User-Level Privacy-Preserving Federated Learning: {Analysis} and Performance Optimization}, 
year={2021},
volume={},
number={},
pages={1-1},}}

@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