activity
20132025
most citedDistributed Event-Triggered Control for Global Consensus of Multi-Agent Systems with Input Saturation

161 citations · 490 across the 47 of their papers we have counts for

collaborators
Showing math.OCShow all

31 papers · 1 filter

math.OC2025

Communication-Efficient Distributed Online Nonconvex Optimization with Time-Varying Constraints

Kunpeng Zhang, Lei Xu, Xinlei Yi +5

This paper considers distributed online nonconvex optimization with time-varying inequality constraints over a network of agents, where the nonconvex local loss and convex local co…

math.OC2025

Compressed Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization

Haonan Wang, Xinlei Yi, Yiguang Hong

This paper studies the stochastic distributed nonconvex optimization problem over a network of agents, where agents only access stochastic zeroth-order information about their loca…

math.OC2025

Distributed Constrained Online Nonconvex Optimization with Compressed Communication

Kunpeng Zhang, Lei Xu, Xinlei Yi +4

This paper considers distributed online nonconvex optimization with time-varying inequality constraints over a network of agents. For a time-varying graph, we propose a distributed…

math.OC2024

Distributed Event-Triggered Bandit Convex Optimization with Time-Varying Constraints

Kunpeng Zhang, Xinlei Yi, Guanghui Wen +4

This paper considers the distributed bandit convex optimization problem with time-varying inequality constraints over a network of agents, where the goal is to minimize network reg…

math.OC2024

A Communication-Efficient Stochastic Gradient Descent Algorithm for Distributed Nonconvex Optimization

Antai Xie, Xinlei Yi, Xiaofan Wang +2

This paper studies distributed nonconvex optimization problems with stochastic gradients for a multi-agent system, in which each agent aims to minimize the sum of all agents' cost…

math.OC2023

Distributed online constrained convex optimization with event-triggered communication

Kunpeng Zhang, Xinlei Yi, Yuzhe Li +3

This paper focuses on the distributed online convex optimization problem with time-varying inequality constraints over a network of agents, where each agent collaborates with its n…

math.OC2023★ 3 cited

Compressed Gradient Tracking Algorithms for Distributed Nonconvex Optimization

Lei Xu, Xinlei Yi, Guanghui Wen +3

In this paper, we study the distributed nonconvex optimization problem, which aims to minimize the average value of the local nonconvex cost functions using local information excha…

math.OC2023★ 1 cited

Differentially Private and Communication-Efficient Distributed Nonconvex Optimization Algorithms

Antai Xie, Xinlei Yi, Xiaofan Wang +2

This paper studies the privacy-preserving distributed optimization problem under limited communication, where each agent aims to keep its cost function private while minimizing the…

math.OC2023

Asymmetric Feedback Learning in Online Convex Games

Zifan Wang, Xinlei Yi, Yi Shen +2

This paper considers convex games involving multiple agents that aim to minimize their own cost functions using locally available information. A common assumption in the study of s…

math.OC2023★ 1 cited

Distributed Online Convex Optimization with Adversarial Constraints: Reduced Cumulative Constraint Violation Bounds under Slater's Condition

Xinlei Yi, Xiuxian Li, Tao Yang +4

This paper considers distributed online convex optimization with adversarial constraints. In this setting, a network of agents makes decisions at each round, and then only a portio…

math.OC2023

Compressed Differentially Private Distributed Optimization with Linear Convergence

Antai Xie, Xinlei Yi, Xiaofan Wang +2

This paper addresses the problem of differentially private distributed optimization under limited communication, where each agent aims to keep their cost function private while min…

math.OC2022

Rate analysis of dual averaging for nonconvex distributed optimization

Changxin Liu, Xuyang Wu, Xinlei Yi +2

This work studies nonconvex distributed constrained optimization over stochastic communication networks. We revisit the distributed dual averaging algorithm, which is known to conv…

math.OC2022

Quantized Distributed Nonconvex Optimization Algorithms with Linear Convergence under the Polyak--ojasiewicz Condition

Lei Xu, Xinlei Yi, Jiayue Sun +3

This paper considers distributed optimization for minimizing the average of local nonconvex cost functions, by using local information exchange over undirected communication networ…

math.OC2022★ 1 cited

Communication Compression for Distributed Nonconvex Optimization

Xinlei Yi, Shengjun Zhang, Tao Yang +2

This paper considers distributed nonconvex optimization with the cost functions being distributed over agents. Noting that information compression is a key tool to reduce the heavy…

math.OC2021★ 1 cited

Zeroth-Order Algorithms for Stochastic Distributed Nonconvex Optimization

Xinlei Yi, Shengjun Zhang, Tao Yang +1

In this paper, we consider a stochastic distributed nonconvex optimization problem with the cost function being distributed over agents having access only to zeroth-order (ZO)…

math.OC2021★ 41 cited

Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization

Xinlei Yi, Xiuxian Li, Tao Yang +3

This paper considers the distributed online convex optimization problem with time-varying constraints over a network of agents. This is a sequential decision making problem with tw…

math.OC2020★ 7 cited

Distributed Online Convex Optimization with an Aggregative Variable

Xiuxian Li, Xinlei Yi, Lihua Xie

This paper investigates distributed online convex optimization in the presence of an aggregative variable without any global/central coordinators over a multi-agent network, where…

math.OC2020★ 9 cited

A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization

Xinlei Yi, Shengjun Zhang, Tao Yang +2

The distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of local cost functions by using local information exchange is considered. T…

math.OC2019

Distributed Bandit Online Convex Optimization with Time-Varying Coupled Inequality Constraints

Xinlei Yi, Xiuxian Li, Tao Yang +3

This paper considers the problem of distributed bandit online convex optimization with time-varying coupled inequality constraints. This problem can be defined as a repeated game b…

math.OC2019★ 7 cited

Linear Convergence of First- and Zeroth-Order Primal-Dual Algorithms for Distributed Nonconvex Optimization

Xinlei Yi, Shengjun Zhang, Tao Yang +2

This paper considers the distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of local cost functions by using local information exchange…

math.OC2019★ 4 cited

Exponential Convergence for Distributed Smooth Optimization Under the Restricted Secant Inequality Condition

Xinlei Yi, Shengjun Zhang, Tao Yang +2

This paper considers the distributed smooth optimization problem in which the objective is to minimize a global cost function formed by a sum of local smooth cost functions, by usi…

math.OC2019★ 9 cited

Distributed Online Convex Optimization with Time-Varying Coupled Inequality Constraints

Xinlei Yi, Xiuxian Li, Lihua Xie +1

This paper considers distributed online optimization with time-varying coupled inequality constraints. The global objective function is composed of local convex cost and regulariza…

math.OC2018★ 2 cited

Distributed Least Squares Solver for Network Linear Equations

Tao Yang, Jemin George, Jiahu Qin +2

In this paper, we study the problem of finding the least square solutions of over-determined linear algebraic equations over networks in a distributed manner. Each node has access…

math.OC2018

Distributed Robust Dynamic Average Consensus with Dynamic Event-Triggered Communication

Jemin George, Xinlei Yi, Tao Yang

This paper presents the formulation and analysis of a fully distributed dynamic event-triggered communication based robust dynamic average consensus algorithm. Dynamic average cons…