Browsing by Subject "Label flipping attack"
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Making federated learning robust to adversarial attacks by learning data and model association
( Elsevier , 2022 , Article)One of the key challenges in federated learning (FL) is the detection of malicious parameter updates. In a typical FL setup, the presence of malicious client(s) can potentially demolish the overall training of the shared ...