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A Pervasive, Efficient and Private Future: Realizing Privacy-Preserving Machine Learning Through Hybrid Homomorphic Encryption

Fuente: arXiv

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Bibliographic Details
Main Authors:	Nguyen, Khoa, Budzys, Mindaugas, Frimpong, Eugene, Khan, Tanveer, Michalas, Antonis
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
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