9 citations · 27 across the 11 of their papers we have counts for
12 papers
Nonlinear-Gain Distributed Zeroth-Order Optimization for Networked Black-Box Control
Shengjun Zhang, Tingyi Liu, Heng Zhang +1
This letter studies distributed stochastic optimization over a peer-to-peer network when agents can query only zeroth-order function values. We propose ZOOM-PB, a coordinate-sampli…
Zeroth-Order Stochastic Coordinate Methods for Decentralized Non-convex Optimization
Shengjun Zhang, Tan Shen, Hongwei Sun +3
In this letter, we first propose a \underline{Z}eroth-\underline{O}rder c\underline{O}ordinate \underline{M}ethod~(ZOOM) to solve the stochastic optimization problem over a decentr…
Communication Compression for Distributed Nonconvex Optimization
Xinlei Yi, Shengjun Zhang, Tao Yang +2
This paper considers distributed nonconvex optimization with the cost functions being distributed over agents. Noting that information compression is a key tool to reduce the heavy…
Accelerated Zeroth-order Algorithm for Stochastic Distributed Nonconvex Optimization
Shengjun Zhang, Colleen P. Bailey
This paper investigates how to accelerate the convergence of distributed optimization algorithms on nonconvex problems with zeroth-order information available only. We propose a ze…
Accelerated Primal-Dual Algorithm for Distributed Non-convex Optimization
Shengjun Zhang, Colleen P. Bailey
This paper investigates accelerating the convergence of distributed optimization algorithms on non-convex problems. We propose a distributed primal-dual stochastic gradient descent…
Zeroth-Order Algorithms for Stochastic Distributed Nonconvex Optimization
Xinlei Yi, Shengjun Zhang, Tao Yang +1
In this paper, we consider a stochastic distributed nonconvex optimization problem with the cost function being distributed over agents having access only to zeroth-order (ZO)…
Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method
Shengjun Zhang, Yunlong Dong, Dong Xie +3
This paper investigates the stochastic distributed nonconvex optimization problem of minimizing a global cost function formed by the summation of local cost functions. We solve…
A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization
Xinlei Yi, Shengjun Zhang, Tao Yang +2
The distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of local cost functions by using local information exchange is considered. T…
Extremal Region Analysis based Deep Learning Framework for Detecting Defects
Zelin Deng, Xiaolong Yan, Shengjun Zhang +1
A maximally stable extreme region (MSER) analysis based convolutional neural network (CNN) for unified defect detection framework is proposed in this paper. Our proposed framework…
Linear Convergence of First- and Zeroth-Order Primal-Dual Algorithms for Distributed Nonconvex Optimization
Xinlei Yi, Shengjun Zhang, Tao Yang +2
This paper considers the distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of local cost functions by using local information exchange…
Exponential Convergence for Distributed Smooth Optimization Under the Restricted Secant Inequality Condition
Xinlei Yi, Shengjun Zhang, Tao Yang +2
This paper considers the distributed smooth optimization problem in which the objective is to minimize a global cost function formed by a sum of local smooth cost functions, by usi…
Event-Triggered Control for Consensus of Multi-Agent Systems with Nonlinear Output and Directed Topologies
Xinlei Yi, Shengjun Zhang, Tao Yang +2
We propose a distributed event-triggered control law to solve the consensus problem for multi-agent systems with nonlinear output. Under the condition that the underlying digraph i…