PHY-Fed: An Information-Theoretic Secure Aggregation in Federated Learning in Wireless Communications
Federated learning (FL) is a type of distributed machine learning at the wireless edge that preserves the privacy of clients' data from adversaries and even the central server. Existing federated learning approaches either use (i) secure multiparty computation (SMC) which is vulnerable to infer...
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