Understanding Gradient Clipping in Private SGD:
A Geometric Perspective
Xiangyi Chen Zhiwei Steven Wu Mingyi Hong
University of Minnesota Carnegie Mellon University University of Minnesota
chen5719@umn.edu zstevenwu@cmu.edu mhong@umn.edu
Abstract
Deep learning models are increasingly popular in many machine learning appli-
cations where the training data may contain sensitive information. To provide
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