3 citations · 4 across the 6 of their papers we have counts for
6 papers
Online Distributed Optimization with Clipped Stochastic Gradients: High Probability Bound of Regrets
Yuchen Yang, Kaihong Lu, Long Wang
In this paper, the problem of distributed optimization is studied via a network of agents. Each agent only has access to a stochastic gradient of its own objective function in the…
Game-theoretical approach for task allocation problems with constraints
Chunxia Liu, Kaihong Lu, Xiaojie Chen +1
The distributed task allocation problem, as one of the most interesting distributed optimization challenges, has received considerable research attention recently. Previous works m…
Quantized Distributed Online Projection-free Convex Optimization
Wentao Zhang, Yang Shi, Baoyong Zhang +2
This paper considers online distributed convex constrained optimization over a time-varying multi-agent network. Agents in this network cooperate to minimize the global objective f…
Online distributed algorithms for seeking generalized Nash equilibria in dynamic environments
Kaihong Lu, Guangqi Li, Long Wang
In this paper, we study the distributed generalized Nash equilibrium seeking problem of non-cooperative games in dynamic environments. Each player in the game aims to minimize its…
Distributed Algorithms for Solving a Class of Convex Feasibility Problems
Kaihong Lu, Gangshan Jing, Long Wang
In this paper, a class of convex feasibility problems (CFPs) are studied for multi-agent systems through local interactions. The objective is to search a feasible solution to the c…
Distributed algorithms for solving convex inequalities
Kaihong Lu, Gangshan Jing, Long Wang
In this paper, a distributed subgradient-based algorithm is proposed for continuous-time multi-agent systems to search a feasible solution to convex inequalities. The algorithm inv…