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cs.LG2024
Deep Learning with Data Privacy via Residual Perturbation
Wenqi Tao, Huaming Ling, Zuoqiang Shi +1
Protecting data privacy in deep learning (DL) is of crucial importance. Several celebrated privacy notions have been established and used for privacy-preserving DL. However, many e…
cs.LG2024
Fast and Scalable Semi-Supervised Learning for Multi-View Subspace Clustering
Huaming Ling, Chenglong Bao, Jiebo Song +1
In this paper, we introduce a Fast and Scalable Semi-supervised Multi-view Subspace Clustering (FSSMSC) method, a novel solution to the high computational complexity commonly found…