Decentralized Collaborative Learning of Personalized Models over Networks

17 Oct 2016Paul VanhaesebrouckAurélien BelletMarc Tommasi

We consider a set of learning agents in a collaborative peer-to-peer network, where each agent learns a personalized model according to its own learning objective. The question addressed in this paper is: how can agents improve upon their locally trained model by communicating with other agents that have similar objectives?.. (read more)

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