The paper Differentially Private Gradient Flow based on the Sliced Wasserstein Distance, authored by Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi (Criteo AI Lab), Alain Rakotomamonjy (Criteo AI Lab), Mike Gartrell (Sigma Nova), Jamal Atif and Alexandre Allauzen, has been accepted in Transactions on Machine Learning Research.
Congratulations!