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20182022
most citedLinearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization

3 citations · 5 across the 7 of their papers we have counts for

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math.OC2022

An Optimal Distributed Algorithm with Operator Extrapolation for Stochastic Aggregative Games

Tongyu Wang, Peng Yi, Jie Chen

This work studies Nash equilibrium seeking for a class of stochastic aggregative games, where each player has an expectation-valued objective function depending on its local strate…

math.OC2022

Distributed coordination for seeking the optimal Nash equilibrium of aggregative games

Xiaoyu Ma, Jinlong Lei, Peng Yi +1

This paper aims to design a distributed coordination algorithm for solving a multi-agent decision problem with a hierarchical structure. The primary goal is to search the Nash equi…

math.OC20201 cited

Distributed Optimization Over Markovian Switching Random Network

Peng Yi, Li Li

In this paper, we investigate the distributed convex optimization problem over a multi-agent system with Markovian switching communication networks. The objective function is the s…

math.OC20203 cited

Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization

Jinlong Lei, Peng Yi, Jie Chen +1

This paper considers a distributed stochastic strongly convex optimization, where agents connected over a network aim to cooperatively minimize the average of all agents' local cos…

math.OC2018

Data Rates for Network Linear Equations

Jinlong Lei, Peng Yi, Guodong Shi +1

In this paper, we study network linear equations subject to digital communications with a finite data rate, where each node is associated with one equation from a system of linear…