Private and communication-efficient edge learning-Reference-Cited by-同舟云学术

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Private and communication-efficient edge learning

Published:2020-10-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
language:
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Author:

Zhang Xin¹,Fang Minghong¹,Liu Jia¹,Zhu Zhengyuan¹

Affiliation:

1. Iowa State University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397166.3409123

Reference30 articles.

1. ADMM Based Privacy-Preserving Decentralized Optimization

Cited by 13 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. Privacy-Preserving Federated Primal—Dual Learning for Nonconvex and Nonsmooth Problems With Model Sparsification;IEEE Internet of Things Journal;2024-08-01

2. Energy Efficient and Differentially Private Federated Learning via a Piggyback Approach;IEEE Transactions on Mobile Computing;2024

3. Efficient Sparse Least Absolute Deviation Regression With Differential Privacy;IEEE Transactions on Information Forensics and Security;2024

4. Optimizing Privacy-Accuracy Trade-off in DP-FL via Significant Gradient Perturbation;2023 19th International Conference on Mobility, Sensing and Networking (MSN);2023-12-14

5. Privacy-Enhanced Decentralized Federated Learning at Dynamic Edge;IEEE Transactions on Computers;2023-08-01

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