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math.OC2023
A Deep Reinforcement Learning Approach to Efficient Distributed Optimization
Daokuan Zhu, Tianqi Xu, Jie Lu
In distributed optimization, the practical problem-solving performance is essentially sensitive to algorithm selection, parameter setting, problem type and data pattern. Thus, it i…
math.OC2023
A Distributed Buffering Drift-Plus-Penalty Algorithm for Coupling Constrained Optimization
Dandan Wang, Daokuan Zhu, Zichong Ou +1
This paper focuses on distributed constrained optimization over time-varying directed networks, where all agents cooperate to optimize the sum of their locally accessible objective…
math.OC2023
Distributed Online Optimization with Coupled Inequality Constraints over Unbalanced Directed Networks
Dandan Wang, Daokuan Zhu, Kin Cheong Sou +1
This paper studies a distributed online convex optimization problem, where agents in an unbalanced network cooperatively minimize the sum of their time-varying local cost functions…