Kumar , A , Khimani , V , Chatzopoulos , D & Hui , P 2022 , FedClean: A Defense Mechanism Against Parameter Poisoning Attacks in Federated Learning . in IEEE International Conference on Acoustics, Speech, and Signal Processing : ICASSP . IEEE International Conference on Acoustics, Speech, and Signal Processing proceedings , IEEE , IEEE International Conference on Acoustics, Speech, and Signal Processing , Singapore , 22/05/2022 . https://doi.org/10.1109/ICASSP43922.2022.9747497
Title: | FedClean: A Defense Mechanism Against Parameter Poisoning Attacks in Federated Learning |
Author: | Kumar, Abhishek; Khimani, Vivek; Chatzopoulos, Dimitris; Hui, Pan |
Contributor organization: | Department of Computer Science |
Publisher: | IEEE |
Date: | 2022 |
Language: | eng |
Number of pages: | 5 |
Belongs to series: | IEEE International Conference on Acoustics, Speech, and Signal Processing |
Belongs to series: | IEEE International Conference on Acoustics, Speech, and Signal Processing proceedings |
ISBN: | 978-1-6654-0540-9 |
ISSN: | 2379-190X |
DOI: | https://doi.org/10.1109/ICASSP43922.2022.9747497 |
URI: | http://hdl.handle.net/10138/345968 |
Subject: | 113 Computer and information sciences |
Peer reviewed: | Yes |
Usage restriction: | openAccess |
Self-archived version: | acceptedVersion |
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