Understanding Gradient Clipping in Private SGD: A Geometric Perspective | NSF Public Access Repository

skip to main content

An official website of the United States government Here's how you know

Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Citation Details

Understanding Gradient Clipping in Private SGD: A Geometric Perspective

Award ID(s):: 1727757

PAR ID:: 10274160

Author(s) / Creator(s):: Xiangyi Chen, Steven Wu

Date Published:: 2020-09-01

Journal Name:: NeurIPS 2020.

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript
Conference Paper:
The DOI is not currently available.