5 citations · 8 across the 13 of their papers we have counts for
3 papers · 1 filter
The Mirror-Prox Sliding Method for Non-smooth decentralized saddle-point problems
Ilya Kuruzov, Alexander Rogozin, Demyan Yarmoshik +1
The saddle-point optimization problems have a lot of practical applications. This paper focuses on such non-smooth problems in decentralized case. This work contains generalization…
Decentralized Strongly-Convex Optimization with Affine Constraints: Primal and Dual Approaches
Alexander Rogozin, Demyan Yarmoshik, Ksenia Kopylova +1
Decentralized optimization is a common paradigm used in distributed signal processing and sensing as well as privacy-preserving and large-scale machine learning. It is assumed that…
Decentralized convex optimization under affine constraints for power systems control
Demyan Yarmoshik, Alexander Rogozin, Oleg. O. Khamisov +2
Modern power systems are now in continuous process of massive changes. Increased penetration of distributed generation, usage of energy storage and controllable demand require intr…