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Convergence Theory of Knowledge Distillation in Asynchronous P2P Gossip Learning Network
Decentralized, serverless learning increasingly connects devices running different architectures, where the standard tool, decentralized SGD, is undefined as models with different parameter counts cannot be averaged. Knowledge distillation (KD) exchanges soft predictions rather than weights and side
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