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Pirate Face is a decentralized peer-to-peer infrastructure that mirrors open AI models from Hugging Face as torrents to ensure permanence and censorship resistance, with checksum verification for integrity.
This paper provides convergence theory for knowledge distillation in asynchronous peer-to-peer gossip learning networks, demonstrating that it contracts function disagreement and analyzing theoretical convergence rates.