4 papers · 1 filter
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…
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…
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…