Abstract: Federated Learning (FL), a distributed machine learning paradigm, enables collaborative learning across clients organized by a server while protecting data privacy. Traditional FL assumes ...
Abstract: The growing prevalence of adversarial attacks on machine learning models in consumer electronics necessitates enhancing adversarial robustness. Although adversarial training improves the ...
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