16 citations · 28 across the 13 of their papers we have counts for
7 papers · 1 filter
Event-triggered Dual Gradient Tracking for Distributed Resource Allocation
Xiayan Xu, Xiaomeng Chen, Dawei Shi +1
High communication costs create a major bottleneck for distributed resource allocation over unbalanced directed networks. Conventional dual gradient tracking methods, while effecti…
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…
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…
A Differential Private Method for Distributed Optimization in Directed Networks via State Decomposition
Xiaomeng Chen, Lingying Huang, Lidong He +2
In this paper, we study the problem of consensus-based distributed optimization where a network of agents, abstracted as a directed graph, aims to minimize the sum of all agents' c…
Privacy-Preserving Push-sum Average Consensus via State Decomposition
Xiaomeng Chen, Lingying Huang, Kemi Ding +2
Average consensus is extensively used in distributed networks for computation and control, where all the agents constantly communicate with each other and update their states in or…