6.3k citations · 20.9k across the 54 of their papers we have counts for
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cpSGD: Communication-efficient and differentially-private distributed SGD
Naman Agarwal, Ananda Theertha Suresh, Felix Yu +2
Distributed stochastic gradient descent is an important subroutine in distributed learning. A setting of particular interest is when the clients are mobile devices, where two impor…
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches
Martín Abadi, Úlfar Erlingsson, Ian Goodfellow +5
The recent, remarkable growth of machine learning has led to intense interest in the privacy of the data on which machine learning relies, and to new techniques for preserving priv…
Deep Learning with Differential Privacy
Martín Abadi, Andy Chu, Ian Goodfellow +4
Machine learning techniques based on neural networks are achieving remarkable results in a wide variety of domains. Often, the training of models requires large, representative dat…