Abstract: Universum data, consisting of samples not belonging to any class in the learning task, can serve as prior knowledge for training models. Based on the advantages of Universum data, we propose ...
Abstract: Current defense mechanisms against model poisoning attacks in federated learning (FL) systems have proven effective up to a certain threshold of malicious clients (e.g., 25% to 50%). In this ...
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