3 citations · 3 across the 2 of their papers we have counts for
5 papers · 1 filter
Dual Acceleration for Minimax Optimization: Linear Convergence Under Relaxed Assumptions
Jingwang Li, Xiao Li
This paper addresses the bilinearly coupled minimax optimization problem: $\min_{x \in \mathbb{R}^{d_x}}\max_{y \in \mathbb{R}^{d_y}} \ f_1(x) + f_2(x) + y^{\top} Bx - g_1(y) - g_2…
Accelerated Decentralized Constraint-Coupled Optimization: A Dual Approach
Jingwang Li, Vincent Lau
In this paper, we focus on a class of decentralized constraint-coupled optimization problem: $\sum_{i=1}^n\…
Smoothness of the Augmented Lagrangian Dual in Convex Optimization
Jingwang Li, Vincent Lau
This paper focuses on the general linearly constrained optimization problem: , where $f: \mathbb{R}^d \rightarrow \mathbb{R}…
Decentralized Constraint-Coupled Optimization with Inexact Oracle
Jingwang Li, Housheng Su
We propose an inexact decentralized dual gradient tracking method (iDDGT) for decentralized optimization problems with a globally coupled equality constraint. Unlike existing algor…
Gradient Tracking: A Unified Approach to Smooth Distributed Optimization
Jingwang Li, Housheng Su
In this work, we study the classical distributed optimization problem over digraphs, where the objective function is a sum of smooth local functions. Inspired by the implicit track…