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.

PM This week in cybersecurity: botnets, RCE flaws, AI-driven attacks, stealers, and more. Fast, no-fluff roundup.

Lean verification proof is trivial: The proof section contains by simp on a hardcoded Bool (e.g., Result.verified = true := by simp). This is not a proof of any mathematical property — it's a ...

Kimi K2.5 is a reasoning-capable MoE model with native INT4 quantization. It requires a minimum of 8x GPUs -- the model is already INT4 quantized and still does not fit on 4 cards. The only 4-GPU ...