Differentially Private Robust ADMM for Distributed Machine Learning-Reference-Cited by-同舟云学术

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Differentially Private Robust ADMM for Distributed Machine Learning

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Big Data (Big Data)
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Author:

Ding Jiahao,Zhang Xinyue,Chen Mingsong,Xue Kaiping,Zhang Chi,Pan Miao

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8986695/9005444/09005716.pdf?arnumber=9005716

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sequential inertial linear ADMM algorithm for nonconvex and nonsmooth multiblock problems with nonseparable structure;Journal of Inequalities and Applications;2024-05-08

2. Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM;2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML);2024-04-09

3. Personalized Graph Federated Learning With Differential Privacy;IEEE Transactions on Signal and Information Processing over Networks;2023

4. Robust Decentralized Learning Using ADMM With Unreliable Agents;IEEE Transactions on Signal Processing;2022

5. Laplacian Smoothing Stochastic ADMMs With Differential Privacy Guarantees;IEEE Transactions on Information Forensics and Security;2022

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