Privacy-Preserving Robust Federated Learning with Distributed Differential Privacy
Author:
Affiliation:
1. Huazhong University of Science and Technology,School of Cyber Science and Engineering,China
2. Chinese Academy of Sciences,Institute of Information Engineering,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10063338/10063342/10063618.pdf?arnumber=10063618
Reference32 articles.
1. Fedsel: Federated sgd under local differential privacy with top-k dimension selection;liu;Proc 8th Int Conf Database Systems for Advanced Applications,2020
2. LDP-Fed
3. Virtualization of 5G Cellular Networks: A Combinatorial Share-Averse Auction Approach
4. Rofl: Attestable robustness for secure federated learning;burkhalter,2021
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