☕️About Me
I am an associate professor at ESIEE Paris, Université Gustave Eiffel. Previously, I was a research engineer in the S2A team at Télécom Paris and a researcher in the Noah’s Ark team at Huawei. During 2017, I was a postdoctoral researcher at INRIA, SIERRA under the supervision of Alexandre d’Aspremont. From 2013 to 2016, I was a Ph.D. student, co-advised by Stephan Clémençon and Joseph Salmon. In 2013, I graduated the Master MVA (machine learning and computer vision) at ENS Cachan and obtained the engineering degree of École des Ponts ParisTech.
Interests
- Decentralized Learning
- Bandits
- Convex/Non-Convex Optimization
- Graphs
Education
PhD Machine Learning
LTCI, Télécom ParisTech
MRes Machine Learning and Computer Vision
École Normale Supérieure, Cachan
MSc Applied Maths and Computer Science
École des Ponts ParisTech
Recent Publications
(2026).
Decentralized Ranking Aggregation via Gossip: Convergence and Robustness.
Advances in Neural Information Processing Systems (NeurIPS 2026, to appear).
(2026).
On Gossip Algorithms for Machine Learning with Pairwise Objectives.
Transactions on Machine Learning Research.
(2026).
Fast and Efficient Asynchronous Gossip Algorithm for Robust and Non-Smooth Convex Decentralized Learning.
arXiv preprint arXiv:2601.20571 (under review).
(2025).
Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means.
Advances in Neural Information Processing Systems (NeurIPS 2025).
(2025).
Adaptive Sample Sharing for Multi Agent Linear Bandits.
In ICML.