1 citations · 3 across the 4 of their papers we have counts for
5 papers
Network Gradient Descent Algorithm for Decentralized Federated Learning
Shuyuan Wu, Danyang Huang, Hansheng Wang
We study a fully decentralized federated learning algorithm, which is a novel gradient descent algorithm executed on a communication-based network. For convenience, we refer to it…
A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint
Rui Pan, Yingqiu Zhu, Baishan Guo +2
The emergence of massive data in recent years brings challenges to automatic statistical inference. This is particularly true if the data are too numerous to be read into memory as…
On the Subbagging Estimation for Massive Data
Tao Zou, Xian Li, Xuan Liang +1
This article introduces subbagging (subsample aggregating) estimation approaches for big data analysis with memory constraints of computers. Specifically, for the whole dataset wit…
Efficient Estimation for Generalized Linear Models on a Distributed System with Nonrandomly Distributed Data
Feifei Wang, Danyang Huang, Yingqiu Zhu +1
Distributed systems have been widely used in practice to accomplish data analysis tasks of huge scales. In this work, we target on the estimation problem of generalized linear mode…
Banded Spatio-Temporal Autoregressions
Zhaoxing Gao, Yingying Ma, Hansheng Wang +1
We propose a new class of spatio-temporal models with unknown and banded autoregressive coefficient matrices. The setting represents a sparse structure for high-dimensional spatial…