Privacy Preservation in IoT: Machine Learning Approaches : A Comprehensive Survey and Use Cases /

This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and...

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Hlavní autoři: Qu, Youyang, author 650852, Gao, Longxiang, author 650854, Yu, Shui, author 606822, Xiang, Yong, author 650855
Médium: text
Jazyk:eng
Vydáno: Singapore : Springer, [202
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