16 citations · 19 across the 3 of their papers we have counts for
3 papers
eess.SY2023★ 16 cited
Privacy-Preserving Push-Pull Method for Decentralized Optimization via State Decomposition
Huqiang Cheng, Xiaofeng Liao, Huaqing Li +1
Distributed optimization is manifesting great potential in multiple fields, e.g., machine learning, control, and resource allocation. Existing decentralized optimization algorithms…
cs.MA2023★ 1 cited
Dynamics-Based Algorithm-Level Privacy Preservation for Push-Sum Average Consensus
Huqiang Cheng, Mengying Xie, Xiaowei Yang +2
In the intricate dance of multi-agent systems, achieving average consensus is not just vital--it is the backbone of their functionality. In conventional average consensus algorithm…
math.OC2016★ 2 cited
Geometrical Convergence Rate for Distributed Optimization with Time-Varying Directed Graphs and Uncoordinated Step-Sizes
Qingguo Lü, Huaqing Li
This paper studies a class of distributed optimization algorithms by a set of agents, where each agent has only access to its own local convex objective function, and jointly minim…