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Your p2p doesn't need the cloud. Peer-to-Peer Communication Protocols for Mesh Networks proves it.
This paper introduces Libern's P2P communication protocol stack, designed for fully decentralized mesh networks with intermittent internet. Traditional client-server models face challenges with node discovery, NAT traversal, routing, and security in decentralized environments. Libern's stack addresses these issues by combining mDNS for local discovery and Kademlia for distributed addressing. WebRTC handles NAT traversal and media transport, while a custom gossip protocol manages message propagation. Performance evaluations show reliable message delivery with low latency even for large networks. The research highlights that sovereign, local-first AI infrastructure is achievable now, not in the future. This contrasts with current AI companies that push inference as a service, requiring proprietary hardware and data centers. The Anticloud, built on this research, runs on any GPU or CPU, eliminating vendor lock-in and planned obsolescence. Its entire system is a single binary, requiring no complex orchestration or DevOps teams. The Anticloud functions entirely offline, without needing internet access for updates or operation, enabling AI on personal devices. The author, Lois-Kleinner Alpasan, developed this alternative to address data extraction by AI companies. The project prioritizes privacy and trust through its decentralized architecture, with all components open and verifiable.
