Kaihong Lu

Orcid: 0000-0002-5265-7800

According to our database1, Kaihong Lu authored at least 26 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Online Distributed Algorithms for Online Noncooperative Games With Stochastic Cost Functions: High Probability Bound of Regrets.
IEEE Trans. Autom. Control., December, 2024

Convergence in High Probability of Distributed Stochastic Gradient Descent Algorithms.
IEEE Trans. Autom. Control., April, 2024

Online Distributed Optimization With Nonconvex Objective Functions Under Unbalanced Digraphs: Dynamic Regret Analysis.
IEEE Trans. Netw. Sci. Eng., 2024

Online distributed nonconvex optimization with stochastic objective functions: High probability bound analysis of dynamic regrets.
Autom., 2024

Distributed strategies for mixed equilibrium problems: Continuous-time theoretical approaches.
Autom., 2024

2023
Game-theoretical approach for task allocation problems with constraints.
Appl. Math. Comput., December, 2023

Online Distributed Optimization With Nonconvex Objective Functions via Dynamic Regrets.
IEEE Trans. Autom. Control., November, 2023

Online Distributed Learning for Aggregative Games With Feedback Delays.
IEEE Trans. Autom. Control., October, 2023

Online distributed optimization with strongly pseudoconvex-sum cost functions and coupled inequality constraints.
Autom., October, 2023

Online Distributed Seeking for First-Order Nash Equilibria of Nonconvex Noncooperative Games With Multiple Clusters.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2023

Quantized Distributed Online Projection-Free Convex Optimization.
IEEE Control. Syst. Lett., 2023

2022
Nonsmooth Continuous-Time Distributed Algorithms for Seeking Generalized Nash Equilibria of Noncooperative Games via Digraphs.
IEEE Trans. Cybern., 2022

Online Distributed Optimization With Nonconvex Objective Functions: Sublinearity of First-Order Optimality Condition-Based Regret.
IEEE Trans. Autom. Control., 2022

Continuous-time distributed optimization with strictly pseudoconvex objective functions.
J. Frankl. Inst., 2022

Distributed ergodic algorithms for mixed equilibrium problems: Absent of cut property.
Autom., 2022

Distributed resource allocation via multi-agent systems under time-varying networks.
Autom., 2022

Continuous-time online distributed constrained optimization via unbalanced digraphs.
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.
IEEE Trans. Neural Networks Learn. Syst., 2021

Online Distributed Algorithms for Seeking Generalized Nash Equilibria in Dynamic Environments.
IEEE Trans. Autom. Control., 2021

2020
Online Distributed Optimization With Strongly Pseudoconvex-Sum Cost Functions.
IEEE Trans. Autom. Control., 2020

Distributed algorithms for solving the convex feasibility problems.
Sci. China Inf. Sci., 2020

2019
Distributed Algorithms for Searching Generalized Nash Equilibrium of Noncooperative Games.
IEEE Trans. Cybern., 2019

A distributed algorithm for solving mixed equilibrium problems.
Autom., 2019

2018
Distributed Algorithm for Solving Convex Inequalities.
IEEE Trans. Autom. Control., 2018

2016
Distributed Algorithms for Solving a Class of Convex Feasibility Problems.
CoRR, 2016

Distributed algorithms for solving convex inequalities.
CoRR, 2016


  Loading...