198 citations · 480 across the 36 of their papers we have counts for
4 papers · 1 filter
A Fast Proximal Gradient Algorithm for Decentralized Composite Optimization over Directed Networks
Jinshan Zeng, Tao He, Mingwen Wang
This paper proposes a fast decentralized algorithm for solving a consensus optimization problem defined in a directed networked multi-agent system, where the local objective functi…
On Nonconvex Decentralized Gradient Descent
Jinshan Zeng, Wotao Yin
Consensus optimization has received considerable attention in recent years. A number of decentralized algorithms have been proposed for {convex} consensus optimization. However, to…
Constructive neural network learning
Shaobo Lin, Jinshan Zeng, Xiaoqin Zhang
In this paper, we aim at developing scalable neural network-type learning systems. Motivated by the idea of "constructive neural networks" in approximation theory, we focus on "con…
Greedy Criterion in Orthogonal Greedy Learning
Lin Xu, Shaobo Lin, Jinshan Zeng +2
Orthogonal greedy learning (OGL) is a stepwise learning scheme that starts with selecting a new atom from a specified dictionary via the steepest gradient descent (SGD) and then bu…