AI RESEARCH
Lap2: Revisiting Laplace DP-SGD for High Dimensions via Majorization Theory
arXiv CS.LG
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ArXi:2602.23516v3 Announce Type: replace-cross Differentially Private Stochastic Gradient Descent (DP-SGD) is a cornerstone technique for ensuring privacy in deep learning, widely used in both