Federated_learning_with_differential_privacy:使用PyTorch通过各种神经网络和svm的基于差异优先级的联合学习框
差异化隐私的联合学习 引文 如果您发现“ DP联合学习”在您的研究中很有用,请考虑引用: @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}, vo
文件列表
Federated_learning_with_differential_privacy-master.zip
(预估有个31文件)
Federated_learning_with_differential_privacy-master
local
events.out.tfevents.1612356994.DESKTOP-U8MK2VQ
31KB
dataset
ADULT.dat
11.6MB
mnist
MNIST
raw
train-images-idx3-ubyte.gz
9.45MB
train-labels-idx1-ubyte
59KB
暂无评论