MACHINE LEARNING WITH DIFFERENTLY MASKED DATA IN SECURE MULTI-PARTY COMPUTING

In a secure multi-party computation (sMPC) system, a super mask is constructed using a set of masks corresponding to a set of data contributors. Each data contributor uses a corresponding different mask to obfuscate the data of the data contributor. a first scaled masked data is formed by applying a...

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Bibliographische Detailangaben

Hauptverfasser:	Krishnan, Padmanabhan, Varadarajulu, Gopikrishnan, Kulkarni, Vaibhav Murlidhar, Arora, Rakhi S
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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