5 citations · 8 across the 13 of their papers we have counts for
3 papers · 1 filter
Accelerated Consensus and Decentralized Optimization over Slowly Varying Networks
Darina Dvinskikh, Anton Novitskii, Demyan Yarmoshik +3
We study average consensus over slowly time-varying networks and its application to decentralized optimization. We introduce WAVE, a windowed Chebyshev method that limits the accum…
Decentralized Optimization with Cross-Coupled Mixed Affine Constraints
Ewsey Obzherin, Ilya Khomchenko, Natalia Shelegeda +4
We study decentralized optimization with cross-coupled mixed affine constraints, where local and shared variables interact through two affine channels. We show that the intrinsic d…
Decentralized Optimization with Mixed Affine Constraints
Demyan Yarmoshik, Nhat Trung Nguyen, Alexander Rogozin +1
This paper considers decentralized optimization of convex functions with mixed affine equality constraints involving both local and global variables. Constraints on global variable…