Robust Accelerated Dynamics for Subnetwork Bilinear Zero-Sum Games with Distributed Restarting

Fuente: arXiv
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Main Authors: Li, Weijian, Pavel, Lacra, Malikopoulos, Andreas A.
Format: Preprint
Published: 2025
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author Li, Weijian
Pavel, Lacra
Malikopoulos, Andreas A.
author_facet Li, Weijian
Pavel, Lacra
Malikopoulos, Andreas A.
contents In this paper, we investigate distributed Nash equilibrium seeking for a class of two-subnetwork zero-sum games characterized by bilinear coupling. We present a distributed primal-dual accelerated mirror-descent algorithm with convergence guarantees. However, we demonstrate that this time-varying algorithm is not robust, as it fails to converge under arbitrarily small disturbances. To address this limitation, we introduce a distributed accelerated algorithm that incorporates a coordinated restarting mechanism. We model this new algorithm as a hybrid dynamical system and establish its structural robustness.
format Preprint
id arxiv_https___arxiv_org_abs_2504_16835
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Robust Accelerated Dynamics for Subnetwork Bilinear Zero-Sum Games with Distributed Restarting
Li, Weijian
Pavel, Lacra
Malikopoulos, Andreas A.
Optimization and Control
In this paper, we investigate distributed Nash equilibrium seeking for a class of two-subnetwork zero-sum games characterized by bilinear coupling. We present a distributed primal-dual accelerated mirror-descent algorithm with convergence guarantees. However, we demonstrate that this time-varying algorithm is not robust, as it fails to converge under arbitrarily small disturbances. To address this limitation, we introduce a distributed accelerated algorithm that incorporates a coordinated restarting mechanism. We model this new algorithm as a hybrid dynamical system and establish its structural robustness.
title Robust Accelerated Dynamics for Subnetwork Bilinear Zero-Sum Games with Distributed Restarting
topic Optimization and Control
url https://arxiv.org/abs/2504.16835