Efficient and fully outsourced privacy-preserving decision tree training and prediction based on homomorphic encryption

Outsourcing machine learning models to cloud servers allows data owners to train and utilize models without investing in dedicated hardware. However, this approach raises significant concerns regarding the proprietary nature of the models and the data privacy, including the confidentiality of traini...

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Podrobná bibliografie

Hlavní autor:	Nawal Almutairi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-12-01
Edice:	Egyptian Informatics Journal
Témata:	Homomorphic encryption Privacy preserving Secure machine learning Secure decision tree Outsourced decision tree learning
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1110866525001598
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