$\\textsf {FHE}$

). It consequently covers design fundamentals and security properties of

$\\textsf {FHE}$

and describes the main

$\\textsf {FHE}$

schemes based on various mathematical problems. On a more practical level, this article presents a view on privacy-preserving machine learning using homomorphic encryption and then surveys

$\\textsf {FHE}$

at length from an engineering angle, covering the potential application of

$\\textsf {FHE}$

in fog computing and cloud computing services. It also provides a comprehensive analysis of existing state-of-the-art

$\\textsf {FHE}$

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Riccardo Bassoli 人物

Riccardo Bassoli · 相关事件