Title | ||
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DDLPF: A Practical Decentralized Deep Learning Paradigm for Internet of Things Applications |
Abstract | ||
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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 |
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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 Wu | 1 | 4 | 1.74 |
Gihan J. Mendis | 2 | 4 | 0.72 |
Jin Wei | 3 | 47 | 6.42 |