9 papers · 1 filter
A Unifying Primal-Dual Proximal Framework for Distributed Nonconvex Optimization
Zichong Ou, Jie Lu
We consider distributed nonconvex optimization over an undirected network, where each node privately possesses its local objective and communicates exclusively with its neighboring…
Robust Distributed Nonconvex Optimization Enabling Communication Acceleration and Privacy Protection
Zichong Ou, Jie Lu
This paper addresses a distributed nonconvex optimization problem over multi-agent networks, where each agent exchanges its local information solely with its neighbors. Given that…
Distributed Nonconvex Optimization with Double Privacy Protection and Exact Convergence
Zichong Ou, Dandan Wang, Zixuan Liu +1
Motivated by the pervasive lack of privacy protection in existing distributed nonconvex optimization methods, this paper proposes a decentralized proximal primal-dual algorithm ena…
A Unified Dual Consensus Approach to Distributed Optimization with Globally-Coupled Constraints
Zixuan Liu, Xuyang Wu, Dandan Wang +1
This article explores distributed convex optimization with globally-coupled constraints, where the objective function is a general nonsmooth convex function, the constraints includ…
Globally-Constrained Decentralized Optimization with Variable Coupling
Dandan Wang, Xuyang Wu, Zichong Ou +1
Many realistic decision-making problems in networked scenarios, such as formation control and collaborative task offloading, often involve complicatedly entangled local decisions,…
A Zeroth-Order Proximal Algorithm for Consensus Optimization
Chengan Wang, Zichong Ou, Jie Lu
This paper considers a consensus optimization problem, where all the nodes in a network, with access to the zeroth-order information of its local objective function only, attempt t…
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…
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…
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…