13 citations · 14 across the 2 of their papers we have counts for
3 papers
cs.DC2022★ 13 cited
A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features
Yu Yang, Xiaohong Guan, Qing-Shan Jia +3
By coordinating terminal smart devices or microprocessors to engage in cooperative computation to achieve systemlevel targets, distributed optimization is incrementally favored by…
math.OC2022★ 1 cited
Proximal ADMM for Nonconvex and Nonsmooth Optimization
Yu Yang, Qing-Shan Jia, Zhanbo Xu +2
By enabling the nodes or agents to solve small-sized subproblems to achieve coordination, distributed algorithms are favored by many networked systems for efficient and scalable co…
eess.SY2018
Learning Optimal Scheduling Policy for Remote State Estimation under Uncertain Channel Condition
Shuang Wu, Xiaoqiang Ren, Qing-Shan Jia +2
We consider optimal sensor scheduling with unknown communication channel statistics. We formulate two types of scheduling problems with the communication rate being a soft or hard…