A Privacy-Preserving Classification Framework for Multi-Class Imbalanced Data Using Geometric Oversampling and Homomorphic Encryption.

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Bibliographic Details
Title: A Privacy-Preserving Classification Framework for Multi-Class Imbalanced Data Using Geometric Oversampling and Homomorphic Encryption.
Authors: Lu, Shoulei1, Ye, Jun1,2, An, Fanglin1, Zhang, Zhengqi2, 202313045116003@hainnu.edu.cn
Source: Applied Sciences (2076-3417); Feb2026, Vol. 16 Issue 3, p1283, 29p
Database: Applied Science & Technology Source
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ISSN:20763417
DOI:10.3390/app16031283