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math.OC2021
An Accelerated Method For Decentralized Distributed Stochastic Optimization Over Time-Varying Graphs
Alexander Rogozin, Mikhail Bochko, Pavel Dvurechensky +2
We consider a distributed stochastic optimization problem that is solved by a decentralized network of agents with only local communication between neighboring agents. The goal of…
math.OC2020
Towards accelerated rates for distributed optimization over time-varying networks
Alexander Rogozin, Vladislav Lukoshkin, Alexander Gasnikov +2
We study the problem of decentralized optimization over time-varying networks with strongly convex smooth cost functions. In our approach, nodes run a multi-step gossip procedure a…