activity
20222024
most citedRobust Constrained Consensus and Inequality-constrained Distributed Optimization with Guaranteed Differential Privacy and Accurate Convergence

2 citations · 8 across the 13 of their papers we have counts for

collaborators

13 papers

eess.SY2024

Analysis of Dead Reckoning Accuracy in Swarm Robotics System

Weihang Tan, Timothy Anglea, Yongqiang Wang

The objective of this paper is to determine the position of a single mobile robot in a swarm using dead reckoning techniques. We investigate the accuracy of navigation by using thi…

eess.SY2024

Experimental Study of Decentralized Robot Network Coordination

Martyn Lemon, Yongqiang Wang

Synchronization and desynchronization in networks is a highly studied topic in many electrical systems, but there is a distinct lack of research on this topic with respect to robot…

math.OC20242 cited

Robust Constrained Consensus and Inequality-constrained Distributed Optimization with Guaranteed Differential Privacy and Accurate Convergence

Yongqiang Wang, Angelia Nedic

We address differential privacy for fully distributed optimization subject to a shared inequality constraint. By co-designing the distributed optimization mechanism and the differe…

math.OC2024

Quantization Avoids Saddle Points in Distributed Optimization

Yanan Bo, Yongqiang Wang

Distributed nonconvex optimization underpins key functionalities of numerous distributed systems, ranging from power systems, smart buildings, cooperative robots, vehicle networks…

eess.SY2024

Privacy in Multi-agent Systems

Yongqiang Wang

With the increasing awareness of privacy and the deployment of legislations in various multi-agent system application domains such as power systems and intelligent transportation,…

cs.LG20241 cited

Privacy-Preserving Distributed Optimization and Learning

Ziqin Chen, Yongqiang Wang

Distributed optimization and learning has recently garnered great attention due to its wide applications in sensor networks, smart grids, machine learning, and so forth. Despite ra…