22 citations · 26 across the 7 of their papers we have counts for
8 papers
Local adapt-then-combine algorithms for distributed nonsmooth optimization: Achieving provable communication acceleration
Luyao Guo, Xinli Shi, Wenying Xu +1
This paper is concerned with the distributed composite optimization problem over networks, where agents aim to minimize a sum of local smooth components and a common nonsmooth term…
Perturbed Proximal Gradient ADMM for Nonconvex Composite Optimization
Yuan Zhou, Xinli Shi, Luyao Guo +2
This paper proposes a Perturbed Proximal Gradient ADMM (PPG-ADMM) framework for solving general nonconvex composite optimization problems, where the objective function consists of…
A Proximal Gradient Method With Probabilistic Multi-Gossip Communications for Decentralized Composite Optimization
Luyao Guo, Luqing Wang, Xinli Shi +1
Decentralized optimization methods with local updates have recently gained attention for their provable ability to communication acceleration. In these methods, nodes perform sever…
Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization
Luyao Guo, Sulaiman A. Alghunaim, Kun Yuan +2
The ProxSkip algorithm for distributed optimization is gaining increasing attention due to its effectiveness in reducing communication. However, existing analyses of ProxSkip are l…
Decentralized Inexact Proximal Gradient Method With Network-Independent Stepsizes for Convex Composite Optimization
Luyao Guo, Xinli Shi, Jinde Cao +1
This paper proposes a novel CTA (Combine-Then-Adapt)-based decentralized algorithm for solving convex composite optimization problems over undirected and connected networks. The lo…
BALPA: A Balanced Primal-Dual Algorithm for Nonsmooth Optimization with Application to Distributed Optimization
Luyao Guo, Jinde Cao, Xinli Shi +1
In this paper, we propose a novel primal-dual proximal splitting algorithm (PD-PSA), named BALPA, for the composite optimization problem with equality constraints, where the loss f…
Differentially Private Decentralized Optimization with Relay Communication
Luqing Wang, Luyao Guo, Shaofu Yang +1
Security concerns in large-scale networked environments are becoming increasingly critical. To further improve the algorithm security from the design perspective of decentralized o…
DISA: A Dual Inexact Splitting Algorithm for Distributed Convex Composite Optimization
Luyao Guo, Xinli Shi, Shaofu Yang +1
In this paper, we propose a novel Dual Inexact Splitting Algorithm (DISA) for distributed convex composite optimization problems, where the local loss function consists of a smooth…