2 citations · 7 across the 13 of their papers we have counts for
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Communication-Efficient Distributed Strongly Convex Stochastic Optimization: Non-Asymptotic Rates
Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic +1
We examine fundamental tradeoffs in iterative distributed zeroth and first order stochastic optimization in multi-agent networks in terms of \emph{communication cost} (number of pe…
Distributed Zeroth Order Optimization Over Random Networks: A Kiefer-Wolfowitz Stochastic Approximation Approach
Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic +1
We study a standard distributed optimization framework where networked nodes collaboratively minimize the sum of their local convex costs. The main body of existing work consid…
Convergence rates for distributed stochastic optimization over random networks
Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu +1
We establish the O() convergence rate for distributed stochastic gradient methods that operate over strongly convex costs and random networks. The considered class of…