| 2025 | ICML | The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations. | Wass Azizian, Franck Iutzeler, Jrme Malick, Panayotis Mertikopoulos |
| 2025 | ICML | On the Private Estimation of Smooth Transport Maps. | Clment Lalanne, Franck Iutzeler, Jean-Michel Loubes, Julien Chhor |
| 2024 | ICML | What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis. | Wass Azizian, Franck Iutzeler, Jrme Malick, Panayotis Mertikopoulos |
| 2021 | COLT | The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. | Wass Azizian, Franck Iutzeler, Jrme Malick, Panayotis Mertikopoulos |
| 2020 | ICONIP | Sparse Asynchronous Distributed Learning. | Dmitry Grischenko, Franck Iutzeler, Massih-Reza Amini |
| 2018 | ICML | A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning. | Konstantin Mishchenko, Franck Iutzeler, Jrme Malick, Massih-Reza Amini |
| 2016 | RecSys | Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization. | Bikash Joshi, Franck Iutzeler, Massih-Reza Amini |
| 2012 | ICASSP | New broadcast based distributed averaging algorithm over wireless sensor networks. | Franck Iutzeler, Philippe Ciblat, Walid Hachem, Jrmie Jakubowicz |
| 2011 | ACSSC | Distributed estimation of the maximum value over a Wireless Sensor Network. | Franck Iutzeler, Jrmie Jakubowicz, Walid Hachem, Philippe Ciblat |