5 papers
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…
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,…
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…