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DECENTRALIZED CONDITIONAL GRADIENT METHOD ON TIME-VARIABLE GRAPHS
- Authors: Vedernikov R.A.1, Rogozin A.V.1, Gasnikov A.V.2,3
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Affiliations:
- Moscow Institute of Physics and Technology
- Institute for Information Transmission Problems of the RAS (Kharkevich Institute)
- Caucasian Mathematical Center of the Adyghe State University
- Issue: No 6 (2023)
- Pages: 27-35
- Section: DATA ANALYSIS
- URL: https://rjeid.com/0132-3474/article/view/675727
- DOI: https://doi.org/10.31857/S0132347423060080
- EDN: https://elibrary.ru/FDENUK
- ID: 675727
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Abstract
In this paper, we consider a generalization of the decentralized Frank-Wulff algorithm for network time variables, study the convergence properties of the algorithm, and carry out the corresponding numerical experiments. The changing network is modeled as a deterministic or stochastic sequence of graphs.
About the authors
R. A. Vedernikov
Moscow Institute of Physics and Technology
Author for correspondence.
Email: vedernikov.ra@phystech.edu
Russia, 141701, Moscow region, Dolgoprudny, Institutskiy per., 9
A. V. Rogozin
Moscow Institute of Physics and Technology
Author for correspondence.
Email: aleksandr.rogozin@phystech.edu
Russia, 141701, Moscow region, Dolgoprudny, Institutskiy per., 9
A. V. Gasnikov
Institute for Information Transmission Problems of the RAS (Kharkevich Institute); Caucasian Mathematical Center of the Adyghe State University
Author for correspondence.
Email: gasnikov@yandex.ru
Russia, 127051, Moscow, Bolshoi Karetny lane, 19, build. 1; Republic of Adygea, 385016, Maykop, st. Pervomaiskaya, 208
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