Distributed algorithms for solving convex inequalities. - Kaihong Lu; Gangshan Jing; Long Wang 001 (CoRR, 2016)

Distributed Algorithms for Solving a Class of Convex Feasibility Problems. - Kaihong Lu; Gangshan Jing; Long Wang 001 (CoRR, 2016)

Distributed Algorithm for Solving Convex Inequalities. - Kaihong Lu; Gangshan Jing; Long Wang 001 (IEEE Trans. Autom. Control., 2018)

A distributed algorithm for solving mixed equilibrium problems. - Kaihong Lu; Gangshan Jing; Long Wang 001 (Autom., 2019)

Distributed Algorithms for Searching Generalized Nash Equilibrium of Noncooperative Games. - Kaihong Lu; Gangshan Jing; Long Wang 001 (IEEE Trans. Cybern., 2019)

Distributed algorithms for solving the convex feasibility problems. - Kaihong Lu; Gangshan Jing; Long Wang 001 (Sci. China Inf. Sci., 2020)

Online Distributed Optimization With Strongly Pseudoconvex-Sum Cost Functions. - Kaihong Lu; Gangshan Jing; Long Wang 001 (IEEE Trans. Autom. Control., 2020)

Online Distributed Algorithms for Seeking Generalized Nash Equilibria in Dynamic Environments. - Kaihong Lu; Guangqi Li; Long Wang 001 (IEEE Trans. Autom. Control., 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)

Continuous-time online distributed constrained optimization via unbalanced digraphs. - Kaihong Lu; Hang Xu 008 (ICCA, 2022)

Distributed resource allocation via multi-agent systems under time-varying networks. - Kaihong Lu; Hang Xu 008; Yuanshi Zheng (Autom., 2022)

Distributed ergodic algorithms for mixed equilibrium problems: Absent of cut property. - Kaihong Lu; Qixin Zhu; Xiaoxi Yan (Autom., 2022)

Continuous-time distributed optimization with strictly pseudoconvex objective functions. - Hang Xu 008; Kaihong Lu (J. Frankl. Inst., 2022)

Online Distributed Optimization With Nonconvex Objective Functions: Sublinearity of First-Order Optimality Condition-Based Regret. - Kaihong Lu; Long Wang 001 (IEEE Trans. Autom. Control., 2022)

Nonsmooth Continuous-Time Distributed Algorithms for Seeking Generalized Nash Equilibria of Noncooperative Games via Digraphs. - Kaihong Lu; Qixin Zhu (IEEE Trans. Cybern., 2022)

Quantized Distributed Online Projection-Free Convex Optimization. - Wentao Zhang 003; Yang Shi 001; Baoyong Zhang; Kaihong Lu; Deming Yuan (IEEE Control. Syst. Lett., 2023)

Online Distributed Seeking for First-Order Nash Equilibria of Nonconvex Noncooperative Games With Multiple Clusters. - Hang Xu 008; Kaihong Lu; Tianbao Wang; Xiaoxi Yan; Qixin Zhu (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Online distributed optimization with strongly pseudoconvex-sum cost functions and coupled inequality constraints. - Kaihong Lu; Hang Xu 008 (Autom., 2023)

Online Distributed Learning for Aggregative Games With Feedback Delays. - Pin Liu; Kaihong Lu; Feng Xiao 002; Bo Wei 002; Yuanshi Zheng (IEEE Trans. Autom. Control., 2023)

Online Distributed Optimization With Nonconvex Objective Functions via Dynamic Regrets. - Kaihong Lu; Long Wang 001 (IEEE Trans. Autom. Control., 2023)

Game-theoretical approach for task allocation problems with constraints. - Chunxia Liu; Kaihong Lu; Xiaojie Chen; Attila Szolnoki (Appl. Math. Comput., 2023)

Online Distributed Optimization with Stochastic Objective Functions: High Probability Bound Analysis of Dynamic Regrets. - Hang Xu 008; Kaihong Lu (ICARCV, 2024)

Distributed strategies for mixed equilibrium problems: Continuous-time theoretical approaches. - Kaihong Lu; Hongxia Wang; Qixin Zhu (Autom., 2024)

Online distributed nonconvex optimization with stochastic objective functions: High probability bound analysis of dynamic regrets. - Hang Xu 008; Kaihong Lu; Yu-Long Wang (Autom., 2024)

Aggregative games with bilevel structures: Distributed algorithms and convergence analysis. - Kaihong Lu; Huanshui Zhang; Long Wang 001 (CoRR, 2024)

Online distributed algorithms for mixed equilibrium problems in dynamic environments. - Hang Xu 008; Kaihong Lu; Yu-Long Wang; Qixin Zhu (CoRR, 2024)

Online Distributed Optimization With Nonconvex Objective Functions Under Unbalanced Digraphs: Dynamic Regret Analysis. - Yanfu Qin; Kaihong Lu; Hongxia Wang (IEEE Trans. Netw. Sci. Eng., 2024)

Convergence in High Probability of Distributed Stochastic Gradient Descent Algorithms. - Kaihong Lu; Hongxia Wang; Huanshui Zhang; Long Wang 001 (IEEE Trans. Autom. Control., 2024)

Online Distributed Algorithms for Online Noncooperative Games With Stochastic Cost Functions: High Probability Bound of Regrets. - Kaihong Lu (IEEE Trans. Autom. Control., 2024)

High Probability Convergence of Clipped Distributed Dual Averaging With Heavy-Tailed Noises. - Yanfu Qin; Kaihong Lu; Hang Xu 008; Xiangyong Chen (IEEE Trans. Syst. Man Cybern. Syst., 2025)