26 citations · 34 across the 3 of their papers we have counts for
3 papers
math.OC2017
Random gradient extrapolation for distributed and stochastic optimization
Guanghui Lan, Yi Zhou
In this paper, we consider a class of finite-sum convex optimization problems defined over a distributed multiagent network with agents connected to a central server. In partic…
cs.LG2017★ 26 cited
Theoretical properties of the global optimizer of two layer neural network
Digvijay Boob, Guanghui Lan
In this paper, we study the problem of optimizing a two-layer artificial neural network that best fits a training dataset. We look at this problem in the setting where the number o…
math.OC2017★ 8 cited
Communication-Efficient Algorithms for Decentralized and Stochastic Optimization
Guanghui Lan, Soomin Lee, Yi Zhou
We present a new class of decentralized first-order methods for nonsmooth and stochastic optimization problems defined over multiagent networks. Considering that communication is a…