Search Results for author: Naoya Tezuka

Found 1 papers, 0 papers with code

Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks

no code implementations7 Nov 2022 Naoya Tezuka, Hideya Ochiai, Yuwei Sun, Hiroshi Esaki

Compared to conventional federated learning, WAFL performs model training by weakly synchronizing the model parameters with others, and this shows great resilience to a poisoned model injected by an attacker.

Federated Learning Model Poisoning

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