MSCryptoNet: Multi-Scheme Privacy-Preserving Deep Learning in Cloud Computing

Privacy in the Internet of Things is a fundamental challenge for the Ubiquitous healthcare systems that depend on the data aggregated and collaborative deep learning among different parties. This paper proposes the MSCryptoNet, a novel framework that enables the scalable execution and the conversion...

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Bibliographic Details
Published in:	IEEE Access
Main Authors:	Owusu-Agyemang Kwabena, Zhen Qin, Tianming Zhuang, Zhiguang Qin
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Subjects:	Internet of Things privacy-preserving fully homomorphic encryption
Online Access:	https://ieeexplore.ieee.org/document/8651459/

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