16 citations · 21 across the 14 of their papers we have counts for
14 papers
Communication-efficient and Differentially-private Distributed Nash Equilibrium Seeking with Linear Convergence
Xiaomeng Chen, Wei Huo, Kemi Ding +2
The distributed computation of a Nash equilibrium (NE) for non-cooperative games is gaining increased attention recently. Due to the nature of distributed systems, privacy and comm…
Compression-based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games
Wei Huo, Xiaomeng Chen, Kemi Ding +2
This paper explores distributed aggregative games in multi-agent systems. Current methods for finding distributed Nash equilibrium require players to send original messages to thei…
Distributed Average Consensus via Noisy and Non-Coherent Over-the-Air Aggregation
Huiwen Yang, Xiaomeng Chen, Lingying Huang +2
Over-the-air aggregation has attracted widespread attention for its potential advantages in task-oriented applications, such as distributed sensing, learning, and consensus. In thi…
Differentially Private Dual Gradient Tracking for Distributed Resource Allocation
Wei Huo, Xiaomeng Chen, Lingying Huang +2
This paper investigates privacy issues in distributed resource allocation over directed networks, where each agent holds a private cost function and optimizes its decision subject…
An Efficient Distributed Nash Equilibrium Seeking with Compressed and Event-triggered Communication
Xiaomeng Chen, Wei Huo, Yuchi Wu +2
Distributed Nash equilibrium (NE) seeking problems for networked games have been widely investigated in recent years. Despite the increasing attention, communication expenditure is…
Over-the-air Federated Policy Gradient
Huiwen Yang, Lingying Huang, Subhrakanti Dey +1
In recent years, over-the-air aggregation has been widely considered in large-scale distributed learning, optimization, and sensing. In this paper, we propose the over-the-air fede…
Sensor Selection for Remote State Estimation with QoS Requirement Constraints
Huiwen Yang, Lingying Huang, Chao Yang +2
In this paper, we study the sensor selection problem for remote state estimation under the Quality-of-Service (QoS) requirement constraints. Multiple sensors are employed to observ…
A Privacy-Preserving Finite-Time Push-Sum based Gradient Method for Distributed Optimization over Digraphs
Xiaomeng Chen, Wei Jiang, Themistoklis Charalambous +1
This paper addresses the problem of distributed optimization, where a network of agents represented as a directed graph (digraph) aims to collaboratively minimize the sum of their…
Distributed Nash Equilibrium Seeking with Stochastic Event-Triggered Mechanism
Wei Huo, Kam Fai Elvis Tsang, Yamin Yan +2
In this paper, we study the problem of consensus-based distributed Nash equilibrium (NE) seeking where a network of players, abstracted as a directed graph, aim to minimize their o…
LQG Control Over SWIPT-enabled Wireless Communication Network
Huiwen Yang, Lingying Huang, Yuzhe Li +2
In this paper, we consider using simultaneous wireless information and power transfer (SWIPT) to recharge the sensor in the LQG control, which provides a new approach to prolonging…
Linear Convergent Distributed Nash Equilibrium Seeking with Compression
Xiaomeng Chen, Yuchi Wu, Xinlei Yi +2
Information compression techniques are majorly employed to address the concern of reducing communication cost over peer-to-peer links. In this paper, we investigate distributed Nas…
Improving Primal Heuristics for Mixed Integer Programming Problems based on Problem Reduction: A Learning-based Approach
Lingying Huang, Xiaomeng Chen, Wei Huo +4
In this paper, we propose a Bi-layer Predictionbased Reduction Branch (BP-RB) framework to speed up the process of finding a high-quality feasible solution for Mixed Integer Progra…
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends
Lingying Huang, Xiaomeng Chen, Wei Huo +4
In this paper, we surveyed the existing literature studying different approaches and algorithms for the four critical components in the general branch and bound (B&B) algorithm, na…
Simplex Initialization: A Survey of Techniques and Trends
Mengyu Huang, Yuxing Zhong, Huiwen Yang +4
The simplex method is one of the most fundamental technologies for solving linear programming (LP) problems and has been widely applied to different practical applications. In the…