1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2022
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…
stat.ML2020
Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation
Yingqiu Zhu, Yu Chen, Danyang Huang +2
In deep learning tasks, the learning rate determines the update step size in each iteration, which plays a critical role in gradient-based optimization. However, the determination…
stat.ME2020★ 1 cited
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…