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arXiv · 2307.10978

Decentralized conditional gradient method over time-varying graphs

Roman Vedernikov·Alexander Rogozin·Alexander Gasnikov
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Abstract

In this paper we study a generalization of distributed conditional gradient method to time-varying network architectures. We theoretically analyze convergence properties of the algorithm and provide numerical experiments. The time-varying network is modeled as a deterministic of a stochastic sequence of graphs.

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Roman Vedernikov, Alexander Rogozin, Alexander Gasnikov. 2023-07-20. Decentralized conditional gradient method over time-varying graphs. https://arxiv.org/abs/2307.10978

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