Kaihong Lu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Objective Function

Top Venues

IEEE Trans. Autom. Control.

IEEE Trans. Cybern.

Publications

Kaihong Lu, Hongxia Wang, Huanshui Zhang, Long Wang
Convergence in High Probability of Distributed Stochastic Gradient Descent Algorithms. IEEE Trans. Autom. Control. 69 (4) (2024)
Yanfu Qin, Kaihong Lu, Hongxia Wang
Online Distributed Optimization With Nonconvex Objective Functions Under Unbalanced Digraphs: Dynamic Regret Analysis. IEEE Trans. Netw. Sci. Eng. 11 (5) (2024)
Kaihong Lu, Hongxia Wang, Qixin Zhu
Distributed strategies for mixed equilibrium problems: Continuous-time theoretical approaches. Autom. 161 (2024)
Kaihong Lu, Hang Xu
Online distributed optimization with strongly pseudoconvex-sum cost functions and coupled inequality constraints. Autom. 156 (2023)
Hang Xu, Kaihong Lu, Tianbao Wang, Xiaoxi Yan, Qixin Zhu
Online Distributed Seeking for First-Order Nash Equilibria of Nonconvex Noncooperative Games With Multiple Clusters. IEEE Trans. Circuits Syst. II Express Briefs 70 (2) (2023)
Wentao Zhang, Yang Shi, Baoyong Zhang, Kaihong Lu, Deming Yuan
Quantized Distributed Online Projection-Free Convex Optimization. IEEE Control. Syst. Lett. 7 (2023)
Chunxia Liu, Kaihong Lu, Xiaojie Chen, Attila Szolnoki
Game-theoretical approach for task allocation problems with constraints. Appl. Math. Comput. 458 (2023)
Chunxia Liu, Kaihong Lu, Xiaojie Chen, Attila Szolnoki
Game-theoretical approach for task allocation problems with constraints. CoRR (2023)
Pin Liu, Kaihong Lu, Feng Xiao, Bo Wei, Yuanshi Zheng
Online Distributed Learning for Aggregative Games With Feedback Delays. IEEE Trans. Autom. Control. 68 (10) (2023)
Kaihong Lu, Long Wang
Online Distributed Optimization With Nonconvex Objective Functions via Dynamic Regrets. IEEE Trans. Autom. Control. 68 (11) (2023)
Kaihong Lu, Hang Xu
Continuous-time online distributed constrained optimization via unbalanced digraphs. ICCA (2022)
Hang Xu, Kaihong Lu
Continuous-time distributed optimization with strictly pseudoconvex objective functions. J. Frankl. Inst. 359 (2) (2022)
Kaihong Lu, Hang Xu, Yuanshi Zheng
Distributed resource allocation via multi-agent systems under time-varying networks. Autom. 136 (2022)
Kaihong Lu, Qixin Zhu, Xiaoxi Yan
Distributed ergodic algorithms for mixed equilibrium problems: Absent of cut property. Autom. 141 (2022)
Kaihong Lu, Qixin Zhu
Nonsmooth Continuous-Time Distributed Algorithms for Seeking Generalized Nash Equilibria of Noncooperative Games via Digraphs. IEEE Trans. Cybern. 52 (7) (2022)
Kaihong Lu, Long Wang
Online Distributed Optimization With Nonconvex Objective Functions: Sublinearity of First-Order Optimality Condition-Based Regret. IEEE Trans. Autom. Control. 67 (6) (2022)
Kaihong Lu, Guangqi Li, Long Wang
Online Distributed Algorithms for Seeking Generalized Nash Equilibria in Dynamic Environments. IEEE Trans. Autom. Control. 66 (5) (2021)
Kaihong Lu, Qixin Zhu
Distributed Algorithms Involving Fixed Step Size for Mixed Equilibrium Problems With Multiple Set Constraints. IEEE Trans. Neural Networks Learn. Syst. 32 (11) (2021)
Kaihong Lu, Gangshan Jing, Long Wang
Online Distributed Optimization With Strongly Pseudoconvex-Sum Cost Functions. IEEE Trans. Autom. Control. 65 (1) (2020)
Kaihong Lu, Gangshan Jing, Long Wang
Distributed algorithms for solving the convex feasibility problems. Sci. China Inf. Sci. 63 (8) (2020)
Kaihong Lu, Gangshan Jing, Long Wang
A distributed algorithm for solving mixed equilibrium problems. Autom. 105 (2019)
Kaihong Lu, Gangshan Jing, Long Wang
Distributed Algorithms for Searching Generalized Nash Equilibrium of Noncooperative Games. IEEE Trans. Cybern. 49 (6) (2019)
Kaihong Lu, Gangshan Jing, Long Wang
Distributed Algorithm for Solving Convex Inequalities. IEEE Trans. Autom. Control. 63 (8) (2018)
Kaihong Lu, Gangshan Jing, Long Wang
Distributed algorithms for solving convex inequalities. CoRR (2016)
Kaihong Lu, Gangshan Jing, Long Wang
Distributed Algorithms for Solving a Class of Convex Feasibility Problems. CoRR (2016)