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News/GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
arxiv
PublishedJune 2, 2026 at 4:00 AM

GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework

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arXiv:2504.17471v2 Announce Type: replace-cross Abstract: Gossip Learning (GL) is a decentralized learning paradigm where users iteratively exchange and aggregate models with a small set of neighboring peers. Recent approaches rely on dynamic communication graphs built using Random Peer Sampling (RP

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