Decentralized Optimization Over Time-Varying Directed Graphs With Row and Column-Stochastic Matrices

DOI10.1109/TAC.2020.2969721OpenAlexW3003613721MaRDI QIDQ5853892

Fakhteh Saadatniaki, Usman A. Khan, Ran Xin

Publication date: 12 March 2021

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2020.2969721

Mathematics Subject Classification ID

Systems theory; control (93-XX)

Related Items (11)

Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation ⋮ Distributed discrete-time convex optimization with nonidentical local constraints over time-varying unbalanced directed graphs ⋮ A distributed accelerated optimization algorithm over time‐varying directed graphs with uncoordinated step‐sizes ⋮ A Fenchel dual gradient method enabling regularization for nonsmooth distributed optimization over time-varying networks ⋮ Linear convergence rate analysis of a class of exact first-order distributed methods for weight-balanced time-varying networks and uncoordinated step sizes ⋮ Distributed optimal coordination of multiple heterogeneous linear systems over unbalanced directed communication networks ⋮ Distributed online convex optimization with multiple coupled constraints: a double accelerated push-pull algorithm ⋮ Dynamics based privacy preservation in decentralized optimization ⋮ EFIX: exact fixed point methods for distributed optimization ⋮ Convergence of distributed gradient-tracking-based optimization algorithms with random graphs ⋮ An accelerated distributed gradient method with local memory

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