Distributed Supervised Learning using Neural Networks

21 Jul 2016Simone Scardapane

Distributed learning is the problem of inferring a function in the case where training data is distributed among multiple geographically separated sources. Particularly, the focus is on designing learning strategies with low computational requirements, in which communication is restricted only to neighboring agents, with no reliance on a centralized authority... (read more)

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