Angelo Rodio
Postdoc @ LiU, Sweden • PhD @ Inria, France • theory ⇄ learn ⇆ implement
fname[DOT]lname[AT]liu.se
fname: angelo
lname: rodio
Hej, thanks for visiting! 👋
I am a post-doctoral researcher at Linköping 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 happened to live in Nice and do speak French.
news
| Aug 04, 2025 | 📄 Paper accepted at IEEE MASCOTS 2025. |
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| Jun 27, 2025 | 📄 Paper accepted at IEEE ITW 2025. |
| Sep 01, 2024 | 🚀 Started a postdoc position at Linköping University, Sweden with Zheng Chen and Erik G. Larsson. |
| Jul 11, 2024 | 📄 Paper accepted at ECAI 2024, Santiago de Compostela, Spain. |
| Jul 03, 2024 | 🎓 Defended my PhD thesis on Client Heterogeneity in Federated Learning Systems at Inria, France! Congrats! 🥳 |
| Jun 20, 2024 | 📄 Presented a poster at ACM SIGMETRICS 2024, Venice, Italy. |
| Nov 10, 2023 | 📄 Paper accepted at WPMC 2023, University of South Florida, Tampa, USA. |
| Sep 10, 2023 | 📄 Paper accepted in IEEE/ACM Transactions on Networking. |
| Dec 15, 2022 | 📄 Paper accepted at IEEE INFOCOM 2023, Hoboken, USA. |
| Nov 25, 2022 | Presented a talk at the Workshop on Frugal Machine Learning, Université Grenoble Alpes, France. |