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Privacy Preservation in IoT: Machine Learning Approaches
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Privacy Preservation in IoT: Machine Learning Approaches

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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.

Undertitel
A Comprehensive Survey and Use Cases
Upplaga
1st ed. 2022
ISBN
9789811917967
Språk
Engelska
Vikt
310 gram
Utgivningsdatum
2022-04-28
Sidor
119