Guest Editorial: Federated Learning for Industrial Internet of Things

Recent advances in communication and smart device technologies along with the rapid development of industrial informatization have promoted the proliferation of the Industrial Internet of Things (IIoT), with its capability to increase productivity and efficiency in industries. IIoT systems allow for...

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Bibliographic Details
Published inIEEE internet of things magazine Vol. 7; no. 5; pp. 12 - 13
Main Authors Nguyen, Dinh C., Pham, Viet Quoc, Hosseinalipour, Seyyedali, Xiong, Zehui, Trong, Tuan M. Hoang, Eldar, Yonina
Format Magazine Article
LanguageEnglish
Published New York IEEE 01.09.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Federated learning
Industrial Internet of Things
Smart devices
Smart manufacturing
Special issues and sections
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Summary:Recent advances in communication and smart device technologies along with the rapid development of industrial informatization have promoted the proliferation of the Industrial Internet of Things (IIoT), with its capability to increase productivity and efficiency in industries. IIoT systems allow for interconnecting distributed devices and machines via communication networks to unlock industrial data from products and processes to boost productivity and efficiency. For example, IIoT can provide innovative solutions to revolutionize smart manufacturing processes due to its ubiquitous sensing and computation features.
Bibliography:content type line 24
ObjectType-Editorial-2
ObjectType-Commentary-1
SourceType-Magazines-1
ISSN:2576-3180
2576-3199
DOI:10.1109/MIOT.2024.10644030