Angelo Rodio | Inria | PhD Candidate

Portrait of Angelo Rodio 

Doctorant (PhD Student)
3IA Côte d'Azur
Université Côte D'Azur
Inria Project-Team NEO


Centre Inria d'Université Côte d'Azur
2004, route des Lucioles BP 93, 06902 Sophia Antipolis Cedex
Équipe NEO, Bâtiment Lagrange, Office: L116

About me

My name is Angelo Rodio. I am a third-year PhD student working on “Resource-Aware Federated Learning” under the guidance of Dr. Giovanni Neglia and Prof. Alain Jean-Marie at Inria Sophia-Antipolis (Team NEO).

My PhD scholarship is generously funded by 3IA Côte d'Azur, one of France's leading “Interdisciplinary Institutes for Artificial Intelligence.”

I specialize in distributed and federated learning systems. My research focuses on designing large-scale federated learning algorithms for efficient data and system utilization, with particular emphasis on wireless networks and resource constraints.
I employ mathematical tools from distributed optimization and statistical learning theory.


  • Nov. 2023: Presented a talk at WPMC 2023, University of South Florida, Tampa, United States

  • Sep. 2023: Accepted journal paper at IEEE/ACM Transactions on Networking

  • Aug. 2023: Accepted conference paper at WPMC 2023

  • May 2023: Presented a talk at IEEE INFOCOM 2023, Stevens Institute of Technology, Hoboken, United States

  • Dec. 2022: Accepted conference paper at IEEE INFOCOM 2023

  • Nov. 2022: Presented a talk at the Workshop on Frugal Machine Learning, Université Grenoble Alpes, France

  • Nov. 2022: Delivered a talk on “Resource-Aware Federated Learning” at SophI.A Summit 2022, Sophia-Antipolis, France