Angelo Rodio

Postdoc @ LiU, Sweden β€’ PhD @ Inria, France β€’ theory ⇄ learn ⇆ implement

prof_pic.jpg

fname[DOT]lname[AT]liu.se

fname: angelo

lname: rodio

Hej, thanks for visiting! πŸ‘‹

I am a post-doctoral researcher at LinkΓΆping University, Sweden, working with Erik G. Larsson and Zheng Chen on decentralized machine learning.

Previously, I completed my PhD at Inria, France, working with Giovanni Neglia on federated learning.

My research focuses on designing scalable distributed algorithms for efficient use of data and system resources. I employ mathematical tools from distributed optimization and statistical learning theory.

In my spare time, I enjoy doing sports (mostly running and cycling), traveling, and going on hikes with friends and family. Also, I have lived in Nice and do speak French.

news

Nov 07, 2025 πŸ“„ Paper accepted at AAAI-26 (oral, acceptance rate: 4.4%). Preprint available on arXiv:2511.11560. See you in Singapore!
Sep 01, 2025 πŸ“„ Paper accepted at European Wireless 2025.
Aug 04, 2025 πŸ“„ Paper accepted at IEEE MASCOTS 2025.
Jul 16, 2025 ✈️ Awarded a travel grant by the IEEE Information Theory Society (ITSoc).
Jun 27, 2025 πŸ“„ Paper accepted at IEEE ITW 2025.
Sep 01, 2024 πŸš€ Started a postdoc position at LinkΓΆping University, Sweden with Zheng Chen and Erik G. Larsson.
Jul 11, 2024 πŸ“„ Paper accepted at ECAI 2024, Santiago de Compostela, Spain.
Jul 03, 2024 πŸŽ“ Defended my PhD thesis on Client Heterogeneity in Federated Learning Systems at Inria, France! Congrats! πŸ₯³
Jun 20, 2024 πŸ“„ Presented a poster at ACM SIGMETRICS 2024, Venice, Italy.
Nov 10, 2023 πŸ“„ Paper accepted at WPMC 2023, University of South Florida, Tampa, USA.