no code implementations • 27 Oct 2023 • Antoine Barczewski, Jan Ramon
Recently, due to the popularity of deep neural networks and other methods whose training typically relies on the optimization of an objective function, and due to concerns for data privacy, there is a lot of interest in differentially private gradient descent methods.
