Angelo Rodio | Linköping University | Postdoc
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Postdoctoral Researcher ContactOlaus Magnus väg, 583 30 Linköping |
About me
I am a postdoctoral researcher at Linköping University, Sweden, working with Prof. Erik G. Larsson and Prof. Zheng Chen on decentralized learning.
Previously, I completed my PhD at Inria, France, working with Dr. 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.
News
Oct. 2024: Presented a talk at ECAI 2024, Santiago de Compostela, Spain
Jul. 2024: Accepted conference paper at ECAI 2024
Jul. 2024: Defended my PhD thesis on “Client Heterogeneity in Federated Learning Systems”, Inria, France
Jun. 2024: Presented a poster at ACM SIGMETRICS 2024, Venice, Italy
Apr. 2024: Accepted abstract at ACM SIGMETRICS Student Research Competition (SRC)
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: Presented a talk on “Resource-Aware Federated Learning” at SophI.A Summit 2022, Sophia-Antipolis, France