CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks
Author:
Affiliation:
1. Ben-Gurion University of the Negev,School of ECE,Be’er-Sheva,Israel
2. Clemson University,School of Mathematical and Statistical Sciences,SC
3. Rutgers University,Department of ECE,Piscataway,NJ
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096363.pdf?arnumber=10096363
Reference26 articles.
1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017
2. Federated Learning: A signal processing perspective
3. Deep Leakage from Gradients
4. iDLG: Improved deep leakage from gradients;Zhao,2020
5. Communication-efficient federated learning
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