Federated Learning with Local Differential Privacy
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Citation
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If you find "federated learning with local DP" useful in your research, please consider citing:
@ARTICLE{kang2020fed,
author={Wei, Kang and Li, Jun and Ding, Ming and Ma, Chuan and Yang, Howard H. and Farokhi, Farhad and Jin, Shi and Quek, Tony Q. S. and Poor, H. Vincent},
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{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
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Python 3.6
Torch 1.5.1
Models&Data
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Learning models: CNN, MLP and SVM
Datasets: Mnist and Adult
Federated-Learning-with-Local-Differential-Privacy-master.zip （32个子文件） 
Federated-Learning-with-Local-Differential-Privacy-master 
opacus.zip 272KB
FedNets.py 5KB Fed_NN.py 16KB dataset ADULT.dat 11.6MB mnist MNIST processed training.pt 45.32MB test.pt 7.55MB raw 
t10k-images-idx3-ubyte.gz 1.57MB train-images-idx3-ubyte 44.86MB t10k-images-idx3-ubyte 7.48MB train-labels-idx1-ubyte.gz 28KB t10k-labels-idx1-ubyte 10KB train-images-idx3-ubyte.gz 9.45MB t10k-labels-idx1-ubyte.gz 4KB train-labels-idx1-ubyte 59KB Privacy.py 1KB local events.out.tfevents.1612356994.DESKTOP-U8MK2VQ 31KB options.py 3KB sampling.py 4KB Fed_Svm.py 10KB Noise_add.py 1KB __pycache__ Privacy.cpython-37.pyc 2KB Update.cpython-37.pyc 3KB FedNets.cpython-37.pyc 5KB averaging.cpython-37.pyc 2KB Calculate.cpython-37.pyc 4KB Noise_add.cpython-37.pyc 1KB options.cpython-37.pyc 2KB sampling.cpython-37.pyc 4KB Update.py 4KB README.md 1KB Calculate.py 5KB averaging.py 2KB资源评论
