Aurélien Bellet
INRIA
Laboratoire de Mécanique des Solides
Université Paris-Saclay
Bordeaux
FR
Aurélien Bellet is a researcher at Inria (France). He obtained his Ph.D. from the University of Saint-Etienne (France) in 2012 and was a postdoctoral researcher at the University of Southern California (USA) and at Télécom Paris (France). His current research focuses on the design of privacy-preserving machine learning algorithms in federated and decentralized settings. Aurélien has served as area chair for ICML (since 2019) and NeurIPS (since 2020). He co-organized several international workshops on machine learning and privacy at NIPS/NeurIPS 2016, 2018 and 2020 and at CCS 2021. He also co-organizes FLOW, an online seminar on federated learning with 900+ registered attendees.
