Single SMPC Invocation DPHelmet: Differentially Private Distributed Learning on a Large Scale

1 code implementation • 3 Nov 2022 • Moritz Kirschte, Sebastian Meiser, Saman Ardalan, Esfandiar Mohammadi

We show that locally training support vector machines (SVMs) and computing their averages leads to a learning technique that is scalable to a large number of users, satisfies differential privacy, and is applicable to non-trivial tasks, such as CIFAR-10.

Federated Learning