1 citations · 1 across the 5 of their papers we have counts for
5 papers
Min-max optimization over slowly time-varying graphs
Nhat Trung Nguyen, Alexander Rogozin, Dmitry Metelev +1
Distributed optimization is an important direction of research in modern optimization theory. Its applications include large scale machine learning, distributed signal processing a…
Decentralized conditional gradient method over time-varying graphs
Roman Vedernikov, Alexander Rogozin, Alexander Gasnikov
In this paper we study a generalization of distributed conditional gradient method to time-varying network architectures. We theoretically analyze convergence properties of the alg…
Decentralized Proximal Optimization Method with Consensus Procedure
Alexander Rogozin, Anton Novitskii, Alexander Gasnikov
Decentralized optimization is well studied for smooth unconstrained problems. However, constrained problems or problems with composite terms are an open direction for research. We…
On Decentralized Nonsmooth Optimization
Savelii Chezhegov, Alexander Rogozin, Alexander Gasnikov
In decentralized optimization, several nodes connected by a network collaboratively minimize some objective function. For minimization of Lipschitz functions lower bounds are known…
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?
Dmitriy Metelev, Alexander Rogozin, Dmitry Kovalev +1
We consider decentralized optimization problems where one aims to minimize a sum of convex smooth objective functions distributed between nodes in the network. The links in the net…