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
Автор: Balusamy Balamurugan, Arockiam Daniel, Raj Pethuru (Editors)
Издательство: The Institution of Engineering and Technology
Год выхода: 2024
Страниц: 349
Формат: True PDF
Размер: 10,5 MB
Язык: английский
Smart environments such as smart homes and industrial automation have been transformed by the rapid developments in internet of things (IoT) devices and systems. However, the widespread use of these devices poses significant difficulties, particularly in settings with limited energy resources. Due to the significant energy consumption and communication overhead associated with delivering huge amounts of data, traditional machine learning algorithms which rely on centralized cloud servers for training are not always suitable.