Programme

Jeudi 6 janvier 2022, 9h-15h45, Amphi Hermite, Institut Henri Poincarré en distanciel, via Zoom (lien envoyé aux participant.es)

09h00-09h15 Accueil

10h45-11h15 Pause Café (sans cookies)

11h15-11h45 Exposé -  Martin Kroll (Ruhr-Universität, Bochum) Multivariate density estimation from privatised data: universal consistency and minimax rates

11h45-12h15 Exposé - Joseph Lam-Weil (IECL, Nancy) Minimax optimal goodness-of-fit testing under non-interactive local differential privacy

12h15-14h15 Pause Déjeuner (libre et sans filature) 

14h15-14h45 Exposé - Tom Berrett (University of Warwick) The robustness of locally private procedures

14h45-15h15 Exposé - Victor-Emmanuel Brunel (ENSAE-CREST) Propose, test and release: Differentially private location estimation

15h15-15h45 Exposé - Aurélien Bellet (INRIA, Lille) Privacy-Preserving Federated Machine Learning