Title
DDLPF: A Practical Decentralized Deep Learning Paradigm for Internet of Things Applications
Abstract
In recent years, it has been observed the exponential growth of the Internet of Things (IoT) in different application fields, such as manufacturing and energy industry. To effectively fuse and process the tremendous amount of IoT sensing data timely, there is an urgent need to shift from a conventional centralized computing to a decentralized computing. However, there remain some essential technic...
Year
DOI
Venue
2021
10.1109/JIOT.2020.3033482
IEEE Internet of Things Journal
Keywords
DocType
Volume
Internet of Things,Deep learning,Data models,Computational modeling,Task analysis,Servers,Sensors
Journal
8
Issue
ISSN
Citations 
12
2327-4662
4
PageRank 
References 
Authors
0.38
0
3
Name
Order
Citations
PageRank
Yifu Wu141.74
Gihan J. Mendis240.72
Jin Wei3476.42