Comments on “Privacy-Enhanced Federated Learning Against Poisoning Adversaries”
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DOI: 10.1109/tifs.2023.3238544
Abstract: Liu et al. (2021) recently proposed a privacy-enhanced framework named PEFL to efficiently detect poisoning behaviours in Federated Learning (FL) using homomorphic encryption. In this article, we show that PEFL does not preserve privacy. In… read more here.
Keywords: comments privacy; enhanced federated; federated learning; learning poisoning ... See more keywords