no code implementations • 19 Dec 2023 • Luyao Guo, Luqing Wang, Xinli Shi, Jinde Cao
Distributed optimization methods with probabilistic local updates have recently gained attention for their provable ability to communication acceleration.
no code implementations • 11 May 2023 • Zhuoxuan Li, Iakov Korovin, Xinli Shi, Sergey Gorbachev, Nadezhda Gorbacheva, Wei Huang, Jinde Cao
Rutting of asphalt pavements is a crucial design criterion in various pavement design guides.
no code implementations • 7 Feb 2023 • Luyao Guo, Xinli Shi, Jinde Cao, ZiHao Wang
The proposed algorithm uses uncoordinated network-independent constant stepsizes and only needs to approximately solve a sequence of proximal mappings, which is advantageous for solving decentralized composite optimization problems where the proximal mappings of the nonsmooth loss functions may not have analytical solutions.
no code implementations • 6 Dec 2022 • Luyao Guo, Jinde Cao, Xinli Shi, Shaofu Yang
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 function consists of a smooth term and a nonsmooth term composed with a linear mapping.
no code implementations • 5 Sep 2022 • Luyao Guo, Xinli Shi, Shaofu Yang, Jinde Cao
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 term and a possibly nonsmooth term composed with a linear mapping.