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20142023
most citedNonasymptotic Convergence Rates for Cooperative Learning Over Time-Varying Directed Graphs

63 citations · 323 across the 46 of their papers we have counts for

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Showing 2015Show all

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math.OC2015

Network Independent Rates in Distributed Learning

Angelia Nedić, Alex Olshevsky, César A. Uribe

We propose a new belief update rule for Distributed Non-Bayesian learning in time-varying directed graphs, where a group of agents tries to collectively identify a hypothesis that…

math.OC2015

Fast Convergence Rates for Distributed Non-Bayesian Learning

Angelia Nedić, Alex Olshevsky, César A. Uribe

We consider the problem of distributed learning, where a network of agents collectively aim to agree on a hypothesis that best explains a set of distributed observations of conditi…