Differential Privacy Guarantees for Stochastic Gradient Langevin Dynamics.

Théo Ryffel Francis R. Bach David Pointcheval

Published in: CoRR (2022)

Keyphrases

stochastic gradient
privacy guarantees
differential privacy
privacy preserving
step size
privacy protection
data quality
private data
stochastic gradient descent
nearest neighbor classifier
data privacy
cross validation
data sets
objective function
face recognition
database systems
learning algorithm