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Differentially Private Gradient Flow based on the Sliced Wasserstein Distance

Differentially Private Gradient Flow based on the Sliced Wasserstein Distance

13 December 2023
Ilana Sebag
Muni Sreenivas Pydi
Jean-Yves Franceschi
Alain Rakotomamonjy
Mike Gartrell
Jamal Atif
Alexandre Allauzen
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Papers citing "Differentially Private Gradient Flow based on the Sliced Wasserstein Distance"

2 / 2 papers shown
Title
Learning with Differentially Private (Sliced) Wasserstein Gradients
Learning with Differentially Private (Sliced) Wasserstein Gradients
Clément Lalanne
Jean-Michel Loubes
David Rodríguez-Vítores
FedML
38
0
0
03 Feb 2025
Privacy-preserving data release leveraging optimal transport and
  particle gradient descent
Privacy-preserving data release leveraging optimal transport and particle gradient descent
Konstantin Donhauser
Javier Abad
Neha Hulkund
Fanny Yang
24
4
0
31 Jan 2024
1