Considerations on the Theory of Training Models with Differential Privacy

8 March 2023

Papers citing "Considerations on the Theory of Training Models with Differential Privacy"

5 / 5 papers shown

Title
DNA: Differentially private Neural Augmentation for contact tracing Rob Romijnders Christos Louizos Yuki M. Asano Max Welling FedML 31 0 0 20 Apr 2024
Protect Your Score: Contact Tracing With Differential Privacy Guarantees Rob Romijnders Christos Louizos Yuki M. Asano Max Welling 14 3 0 18 Dec 2023
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version) Axel S. Feldmann Nikola Samardzic A. Krastev S. Devadas R. Dreslinski Karim M. El Defrawy Nicholas Genise Chris Peikert Daniel Sánchez 55 251 0 11 Sep 2021
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 Mar 2020
New Convergence Aspects of Stochastic Gradient Algorithms Lam M. Nguyen Phuong Ha Nguyen Peter Richtárik K. Scheinberg Martin Takáč Marten van Dijk 23 66 0 10 Nov 2018