A Fast and Privacy-Preserving Outsourced Approach for K-Means Clustering Based on Symmetric Homomorphic Encryption

Training a machine learning (ML) model always needs many computing resources, and cloud-based outsourced training is a good solution to address the issue of a computing resources shortage. However, the cloud may be untrustworthy, and it may pose a privacy threat to the training process. Currently, m...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Wanqi Tang, Shiwei Xu
Format:	Article
Language:	English
Published:	MDPI AG 2025-09-01
Subjects:	k-means fast and privacy-preserving outsourced clustering symmetric homomorphic encryption
Online Access:	https://www.mdpi.com/2227-7390/13/17/2893