Kaihong Lu

According to our database, Kaihong Lu authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Convergence in High Probability of Distributed Stochastic Gradient Descent Algorithms.

Kaihong Lu, Hongxia Wang, Huanshui Zhang, Long Wang

IEEE Trans. Autom. Control., April, 2024

2023

Game-theoretical approach for task allocation problems with constraints.

Chunxia Liu, Kaihong Lu, Xiaojie Chen, Attila Szolnoki

Appl. Math. Comput., December, 2023

Online Distributed Optimization With Nonconvex Objective Functions via Dynamic Regrets.

Kaihong Lu, Long Wang

IEEE Trans. Autom. Control., November, 2023

Online Distributed Learning for Aggregative Games With Feedback Delays.

Pin Liu, Kaihong Lu, Feng Xiao, Bo Wei, Yuanshi Zheng

IEEE Trans. Autom. Control., October, 2023

Online distributed optimization with strongly pseudoconvex-sum cost functions and coupled inequality constraints.

Kaihong Lu, Hang Xu

Autom., October, 2023

Online Distributed Seeking for First-Order Nash Equilibria of Nonconvex Noncooperative Games With Multiple Clusters.

Hang Xu, Kaihong Lu, Tianbao Wang, Xiaoxi Yan, Qixin Zhu

IEEE Trans. Circuits Syst. II Express Briefs, February, 2023

Quantized Distributed Online Projection-Free Convex Optimization.

Wentao Zhang, Yang Shi, Baoyong Zhang, Kaihong Lu, Deming Yuan

IEEE Control. Syst. Lett., 2023

2022

Nonsmooth Continuous-Time Distributed Algorithms for Seeking Generalized Nash Equilibria of Noncooperative Games via Digraphs.

Kaihong Lu, Qixin Zhu

IEEE Trans. Cybern., 2022

Online Distributed Optimization With Nonconvex Objective Functions: Sublinearity of First-Order Optimality Condition-Based Regret.

Kaihong Lu, Long Wang

IEEE Trans. Autom. Control., 2022

Continuous-time distributed optimization with strictly pseudoconvex objective functions.

Hang Xu, Kaihong Lu

J. Frankl. Inst., 2022

Distributed ergodic algorithms for mixed equilibrium problems: Absent of cut property.

Kaihong Lu, Qixin Zhu, Xiaoxi Yan

Autom., 2022

Distributed resource allocation via multi-agent systems under time-varying networks.

Kaihong Lu, Hang Xu, Yuanshi Zheng

Autom., 2022

Continuous-time online distributed constrained optimization via unbalanced digraphs.

Kaihong Lu, Hang Xu

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

2021

Distributed Algorithms Involving Fixed Step Size for Mixed Equilibrium Problems With Multiple Set Constraints.

Kaihong Lu, Qixin Zhu

IEEE Trans. Neural Networks Learn. Syst., 2021

Online Distributed Algorithms for Seeking Generalized Nash Equilibria in Dynamic Environments.

Kaihong Lu, Guangqi Li, Long Wang

IEEE Trans. Autom. Control., 2021

2020

Online Distributed Optimization With Strongly Pseudoconvex-Sum Cost Functions.

Kaihong Lu, Gangshan Jing, Long Wang

IEEE Trans. Autom. Control., 2020

Distributed algorithms for solving the convex feasibility problems.

Kaihong Lu, Gangshan Jing, Long Wang

Sci. China Inf. Sci., 2020

2019

Distributed Algorithms for Searching Generalized Nash Equilibrium of Noncooperative Games.

Kaihong Lu, Gangshan Jing, Long Wang

IEEE Trans. Cybern., 2019

A distributed algorithm for solving mixed equilibrium problems.

Kaihong Lu, Gangshan Jing, Long Wang

Autom., 2019

2018

Distributed Algorithm for Solving Convex Inequalities.

Kaihong Lu, Gangshan Jing, Long Wang

IEEE Trans. Autom. Control., 2018

2016

Distributed Algorithms for Solving a Class of Convex Feasibility Problems.

Kaihong Lu, Gangshan Jing, Long Wang

CoRR, 2016

Distributed algorithms for solving convex inequalities.

Kaihong Lu, Gangshan Jing, Long Wang

CoRR, 2016