Robust Multi-Agent LLMs under Byzantine Faults
Researchers propose Self-Anchored Consensus (SAC), a decentralized protocol enabling LLM agents to collaborate reliably over peer-to-peer networks while resisting Byzantine attacks. The method allows agents to iteratively filter unreliable messages and refine outputs without centralized coordination, addressing a critical vulnerability in distributed AI systems.