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math.OC2021
A Gradient-Free Distributed Optimization Method for Convex Sum of Non-Convex Cost Functions
Yipeng Pang, Guoqiang Hu
This paper presents a special type of distributed optimization problems, where the summation of agents' local cost functions (i.e., global cost function) is convex, but each indivi…
math.OC2020
Distributed Nash Equilibrium Seeking with Limited Cost Function Knowledge via A Consensus-Based Gradient-Free Method
Yipeng Pang, Guoqiang Hu
This paper considers a distributed Nash equilibrium seeking problem, where the players only have partial access to other players' actions, such as their neighbors' actions. Thus, t…