8 citations · 31 across the 12 of their papers we have counts for
6 papers · 2 filters
Distributed Generalized Nash Equilibrium Seeking of N-Coalition Games with Full and Distributive Constraints
Chao Sun, Guoqiang Hu
In this work, we investigate the distributed generalized Nash equilibrium (GNE) seeking problems for -coalition games with inequality constraints. First, we study the scenario w…
Distributed Optimization with Coupling Constraints Based on Dual Proximal Gradient Method in Multi-Agent Networks
Jianzheng Wang, Guoqiang Hu
In this paper, we aim to solve a distributed optimization problem with affine coupling constraints in a multi-agent network, where the cost function of the agents is composed of sm…
Attack-Resilient Distributed Convex Optimization of Linear Multi-Agent Systems Against Malicious Cyber-Attacks over Random Digraphs
Zhi Feng, Guoqiang Hu
This paper addresses a resilient exponential distributed convex optimization problem for a heterogeneous linear multi-agent system under Denial-of-Service (DoS) attacks over random…
A Gradient-Free Distributed Optimization Method for Convex Sum of Non-Convex Cost Functions
Yipeng Pang, Guoqiang Hu
This paper presents a special type of distributed optimization problems, where the summation of agents' local cost functions (i.e., global cost function) is convex, but each indivi…
Composite Optimization with Coupling Constraints via Penalized Proximal Gradient Method in Partially Asynchronous Networks
Jianzheng Wang, Guoqiang Hu
In this paper, we consider a composite optimization problem with linear coupling constraints in a multi-agent network. In this problem, all the agents jointly optimize a global com…
Composite Optimization with Coupling Constraints via Dual Proximal Gradient Method with Applications to Asynchronous Networks
Jianzheng Wang, Guoqiang Hu
In this paper, we consider solving a composite optimization problem with coupling constraints in a multi-agent network based on proximal gradient method. In this problem, all the a…