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...
Збережено в:
| Автор: | |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2025-12-01
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| Серія: | Egyptian Informatics Journal |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S1110866525001598 |
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