181 citations · 329 across the 9 of their papers we have counts for
9 papers
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU
Zangwei Zheng, Pengtai Xu, Xuan Zou +12
The click-through rate (CTR) prediction task is to predict whether a user will click on the recommended item. As mind-boggling amounts of data are produced online daily, accelerati…
FROST -- Fast row-stochastic optimization with uncoordinated step-sizes
Ran Xin, Chenguang Xi, Usman A. Khan
In this paper, we discuss distributed optimization over directed graphs, where doubly-stochastic weights cannot be constructed. Most of the existing algorithms overcome this issue…
Distributed Subgradient Projection Algorithm over Directed Graphs: Alternate Proof
Ran Xin, Chenguang Xi, Usman A. Khan
We propose Directed-Distributed Projected Subgradient (D-DPS) to solve a constrained optimization problem over a multi-agent network, where the goal of agents is to collectively mi…
Linear convergence in optimization over directed graphs with row-stochastic matrices
Chenguang Xi, Van Sy Mai, Ran Xin +2
This paper considers a distributed optimization problem over a multi-agent network, in which the objective function is a sum of individual cost functions at the agents. We focus on…
ADD-OPT: Accelerated Distributed Directed Optimization
Chenguang Xi, Ran Xin, Usman A. Khan
In this paper, we consider distributed optimization problems where the goal is to minimize a sum of objective functions over a multi-agent network. We focus on the case when the in…
Distributed Subgradient Projection Algorithm over Directed Graphs
Chenguang Xi, Usman A. Khan
We propose a distributed algorithm, termed the Directed-Distributed Projected Subgradient (D-DPS), to solve a constrained optimization problem over a multi-agent network, where the…
On the Linear Convergence of Distributed Optimization over Directed Graphs
Chenguang Xi, Usman A. Khan
This paper develops a fast distributed algorithm, termed \emph{DEXTRA}, to solve the optimization problem when~ agents reach agreement and collaboratively minimize the sum of th…
On the Distributed Optimization over Directed Networks
Chenguang Xi, Qiong Wu, Usman A. Khan
In this paper, we propose a distributed algorithm, called Directed-Distributed Gradient Descent (D-DGD), to solve multi-agent optimization problems over directed graphs. Existing a…
Distributed Mirror Descent over Directed Graphs
Chenguang Xi, Qiong Wu, Usman A. Khan
In this paper, we propose Distributed Mirror Descent (DMD) algorithm for constrained convex optimization problems on a (strongly-)connected multi-agent network. We assume that each…