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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Kaituhi matua:	Yovine, Sergio (author)
Ētahi atu kaituhi:	Mayr, Franz (author), Sosa, Sebastián (author), Visca, Ramiro (author)
Hōputu:	article
Reo:	Ingarihi
I whakaputaina:	2021
Ngā marau:	Machine learning Differential privacy Private aggregation of teacher ensemble Ciencias Naturales y Exactas Ciencias de la Computación e Información
Urunga tuihono:	https://hdl.handle.net/20.500.12381/456 https://doi.org/10.3390/make3040039
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