activity
20232026
most citedCompressed Gradient Tracking Algorithms for Distributed Nonconvex Optimization

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2026

Markov Chains and Random Walks with Memory on Hypergraphs: A Tensor-Based Approach

Shaoxuan Cui, Lingfei Wang, Hildeberto Jardon-Kojakhmetov +2

Many complex systems exhibit interactions that depend not only on pairwise connections, but also group structures and memory effects. To capture such effects, we develop a unified…

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

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…

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…