Supervised Learning Under Distributed Features
Work
Year: 2018
Type: article
Abstract: This work studies the problem of learning under both large datasets and large-dimensional feature space scenarios. The feature information is assumed to be spread across agents in a network, where eac... more
Authors Bicheng Ying, Kun Yuan, Ali H. Sayed
Institution École Polytechnique Fédérale de Lausanne
Cites: 72
Cited by: 51
Related to: 10
FWCI: 5.636
Citation percentile (by year/subfield): 92.81
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Partnerships for the goals
Open Access status: bronze
Funder National Science Foundation
Grant ID CCF-1011918