489 citations · 1.2k across the 25 of their papers we have counts for
19 papers · 1 filter
Distributed Projection-free Algorithm for Constrained Aggregative Optimization
Tongyu Wang, Peng Yi
In this paper, we focus on solving a distributed convex aggregative optimization problem in a network, where each agent has its own cost function which depends not only on its own…
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…
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…
Distributed Variable Sample-size Stochastic Optimization with Fixed Step-sizes
Jinlong Lei, Peng Yi, Jie Chen +1
The paper considers distributed stochastic optimization over randomly switching networks, where agents collaboratively minimize the average of all agents' local expectation-valued…
Distributed Optimization with Projection-free Dynamics
Guanpu Chen, Peng Yi, Yiguang Hong +1
We consider continuous-time dynamics for distributed optimization with set constraints in the paper. To handle the computational complexity of projection-based dynamics due to solv…
Nash Equilibrium Seeking Over Directed Graphs
Yutao Tang, Peng Yi, Yanqiong Zhang +1
In this paper, we aim to develop distributed continuous-time algorithms over directed graphs to seek the Nash equilibrium in a noncooperative game. Motivated by the recent consensu…
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…
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…
Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games
Shu Liang, Peng Yi, Yiguang Hong +1
Distributed Nash equilibrium seeking of aggregative games is investigated and a continuous-time algorithm is proposed. The algorithm is designed by virtue of projected gradient pla…
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…
Asynchronous distributed algorithms for seeking generalized Nash equilibria under full and partial decision information
Peng Yi, Lacra Pavel
We investigate asynchronous distributed algorithms with delayed information for seeking generalized Nash equilibrium over multi-agent networks. The considered game model has all pl…
Distributed generalized Nash equilibria computation of monotone games via a preconditioned proximal point algorithm
Peng Yi, Lacra Pavel
In this paper, we investigate distributed generalized Nash equilibrium (GNE) computation of monotone games with affine coupling constraints. Each player can only utilize its local…
A distributed primal-dual algorithm for computation of generalized Nash equilibria with shared affine coupling constraints via operator splitting methods
Peng Yi, Lacra Pavel
In this paper, we propose a distributed primal-dual algorithm for computation of a generalized Nash equilibrium (GNE) in noncooperative games over network systems. In the considere…
Projected Primal-Dual Gradient Flow of Augmented Lagrangian with Application to Distributed Maximization of the Algebraic Connectivity of a Network
Han Zhang, Jieqiang Wei, Peng Yi +1
In this paper, a projected primal-dual gradient flow of augmented Lagrangian is presented to solve convex optimization problems that are not necessarily strictly convex. The optimi…
Distributed Nash equilibrium seeking for aggregative games with coupled constraints
Shu Liang, Peng Yi, Yiguang Hong
In this paper, we study a distributed continuous-time design for aggregative games with coupled constraints in order to seek the generalized Nash equilibrium by a group of agents v…
Continuous-Time Distributed Algorithms for Extended Monotropic Optimization Problems
Xianlin Zeng, Peng Yi, Yiguang Hong +1
This paper studies distributed algorithms for the extended monotropic optimization problem, which is a general convex optimization problem with a certain separable structure. The c…
Distributed Resource Allocation Over Random Networks Based on Stochastic Approximation
Peng Yi, Jinlong Lei, Yiguang Hong
In this paper, a stochastic approximation (SA) based distributed algorithm is proposed to solve the resource allocation (RA) with uncertainties. In this problem, a group of agents…
Initialization-free Distributed Algorithms for Optimal Resource Allocation with Feasibility Constraints and its Application to Economic Dispatch of Power Systems
Peng Yi, Yiguang Hong, Feng Liu
In this paper, the distributed resource allocation optimization problem is investigated. The allocation decisions are made to minimize the sum of all the agents' local objective fu…
Distributed Continuous-Time Algorithm for Constrained Convex Optimizations via Nonsmooth Analysis Approach
Xianlin Zeng, Peng Yi, Yiguang Hong
This technical note studies the distributed optimization problem of a sum of nonsmooth convex cost functions with local constraints. At first, we propose a novel distributed contin…