FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information
Author:
Affiliation:
1. Duke University
2. University of Science and Technology of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10179215/10179280/10179336.pdf?arnumber=10179336
Reference39 articles.
1. Provably Secure Federated Learning against Malicious Clients
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3. MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients
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