16 citations · 30 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…
math.OC2022★ 14 cited
Distributed Online Private Learning of Convex Nondecomposable Objectives
Huqiang Cheng, Xiaofeng Liao, Huaqing Li
We deal with a general distributed constrained online learning problem with privacy over time-varying networks, where a class of nondecomposable objectives are considered. Under th…
math.OC2022
Accelerated Primal-Dual Mirror Dynamics for Centrailized and Distributed Constrained Convex Optimization Problems
You Zhao, Xiaofeng Liao, Xing He +1
This paper investigates two accelerated primal-dual mirror dynamical approaches for smooth and nonsmooth convex optimization problems with affine and closed, convex set constraints…