- Gilles Bareilles (from ENSTA and MVA), who was an intern with Franck. His work deals with adaptive optimization methods for nonsmooth problems.
- Yu-Guan Hsieh (from ENS and MVA), who was also an intern with Franck, Jérôme, and Panayotis. His work deals with variational analysis for machine learning.
- Sélim Chraibi (from ENSIMAG), who was an intern with Peter Richtarik at KAUST. His work deals with practical large-scale and federated learning methods.