Autonomous Peer Mesh Lightweight LLM for Cloudless Cooperative Edge Intelligence

This paper presented an Autonomous Peer Mesh Lightweight LLM (APM-LLM) framework for cloudless cooperative edge intelligence. The proposed architecture enables decentralized peer-to-peer collaboration among lightweight LLM-powered edge devices without centralized cloud dependency. By integrating mesh networking, cooperative inference, semantic synchronization, and decentralized trust coordination, the framework improves latency, scalability, energy efficiency, privacy preservation, and fault tolerance. Experimental evaluation demonstrated that the proposed approach outperforms traditional cloud-centric and partially federated edge AI systems in dynamic and disconnected environments. The proposed framework provides a scalable foundation for future autonomous decentralized AI ecosystems supporting next-generation smart applications.

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