Abstract: Federated learning (FL), a distributed machine learning (ML) framework, is susceptible to Byzantine attacks since the attacker can manipulate clients’ local data or models to compromise the ...
Learn how to secure Model Context Protocol (MCP) host-client communication using lattice-based PQC standards like ML-KEM and ML-DSA against quantum threats.
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