About me

I am a PhD student in computer science at LISTIC, Université Savoie Mont Blanc, supervised by Alexandre Benoit and co-supervised by Mickaël Bettinelli. I work on federated learning and reinforcement learning. My thesis focuses on personalized federated reinforcement learning for autonomous drone swarms in civil security missions.

Before that, I obtained an MSc in Machine Learning from the Université de Lille, with a Master's thesis on clustered federated learning supervised by Batiste Le Bars. During this work I developed the CFLA library and proposed the HCFL algorithm. My final-year project, supervised by Romain Rouvoy and Marc Tommasi, studied federated learning under energy constraints.

I also did a research internship in computer vision at LIRMM (Montpellier), with Marc Chaumont, Gérard Subsol and Eugênio Dias Ribeiro Neto, on animal detection and re-identification from camera traps.

You can learn more about me in my CV.

Research interests

• Federated learning, clustered federated learning
• Reinforcement learning, federated and personalized reinforcement learning
• Autonomous drone swarms and multi-agent systems
• Data heterogeneity (non-IID) and personalization

News

• Started my PhD at LISTIC, Université Savoie Mont Blanc, supervised by Alexandre Benoit and Mickaël Bettinelli. 11-2026
• Released CFLA v1.0.1 on PyPI, an open-source library for clustered federated learning. 03-2026