An Assessment of the Application of Private Aggregation of Ensemble Models to Sensible Data

This paper explores the use of Private Aggregation of Teacher Ensembles (PATE) in a setting where students have their own private data that cannot be revealed as is to the ensemble. We propose a privacy model that introduces a local differentially private mechanism to protect student data. We implem...

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Bibliographic Details

Main Author:	Yovine, Sergio (author)
Other Authors:	Mayr, Franz (author), Sosa, Sebastián (author), Visca, Ramiro (author)
Format:	article
Language:	English
Published:	2021
Subjects:	Machine learning Differential privacy Private aggregation of teacher ensemble Ciencias Naturales y Exactas Ciencias de la Computación e Información
Online Access:	https://hdl.handle.net/20.500.12381/456 https://doi.org/10.3390/make3040039
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