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cs.LG2026
SPADE-KD: Peer-to-Peer Collaborative Learning under Heterogeneous Settings
Harikrishna Kuttivelil, Katia Obraczka
Peer-to-peer collaborative learning is an emerging distributed deep learning paradigm that eliminates the need for a central aggregator and disseminator, avoiding the single-point-…
cs.LG2026
Convergence Theory of Knowledge Distillation in Asynchronous P2P Gossip Learning Network
Lucas Qingyang Fang, Tiyao Liu, Jinhao Jing +4
Decentralized, serverless learning increasingly connects devices running different architectures, where the standard tool, decentralized SGD, is undefined as models with different…
cs.LG2025
Chisme: Heterogeneity-Aware Gossip Learning
Harikrishna Kuttivelil, Katia Obraczka
As end-user device capability increases and demand for intelligent services at the Internet's edge rises, distributed learning has emerged as a key enabling technology for the inte…