Abstract: Federated learning (FL) enables the collaborative training of models by users distributed across various locations, transforming traditional data sharing into model sharing. This paradigm ...
Abstract: Encrypted communication ensures confidentiality but remains vulnerable to brute-force, MITM, data injection, and key spoofing attacks. Detection is challenging due to the infeasibility of ...
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