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20232026
most citedCompressed Gradient Tracking Algorithms for Distributed Nonconvex Optimization

3 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

math.OC2026

Distributed Seeking for Fixed Points of Biased Stochastic Operators: A Communication-Efficient Approach

Fan Li, Lei Xu, Xinlei Yi +3

This paper investigates the distributed fixed point seeking problem of sum-separable stochastic operators over the multi-agent network. Based on inexact Krasnosel'ski\uı--Mann iter…

math.OC2026

Compressed Distributed Stochastic Nonconvex Optimization with Differential Privacy

Antai Xie, Xiaoqiang Ren, Xinlei Yi +2

This paper studies distributed stochastic nonconvex optimization problems with compressed communication and differential privacy, in which each agent aims to minimize the sum of al…

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…

eess.SY2025

One-Point Sampling for Distributed Bandit Convex Optimization with Time-Varying Constraints

Kunpeng Zhang, Lei Xu, Xinlei Yi +4

This paper considers the distributed bandit convex optimization problem with time-varying constraints. In this problem, the global loss function is the average of all the local con…

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…

eess.SY2024

Reduced Network Cumulative Constraint Violation for Distributed Bandit Convex Optimization under Slater Condition

Kunpeng Zhang, Xinlei Yi, Jinliang Ding +3

This paper studies the distributed bandit convex optimization problem with time-varying inequality constraints, where the goal is to minimize network regret and cumulative constrai…

eess.SY2024

Distributed Optimization by Network Flows with Spatio-Temporal Compression

Zihao Ren, Lei Wang, Xinlei Yi +5

Several data compressors have been proposed in distributed optimization frameworks of network systems to reduce communication overhead in large-scale applications. In this paper, w…

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.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…