Postdoc
Angelo Rodio is a Postdoctoral Researcher at 腦瞳憫, Sweden.
He works on decentralized machine learning with Professor Erik G. Larsson and Associate Professor Zheng Chen.
He received his PhD from Inria, France, in July 2024, working on federated learning.
His publications are available on , and more details can be found on his .
Angelo Rodio, Giovanni Neglia, Zheng Chen, Erik G. Larsson, A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication (2025)
Angelo Rodio, Zheng Chen, Erik G. Larsson, Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise (2025)
Angelo Rodio, Giovanni Neglia, FedStale: leveraging stale client updates in federated learning (2024)
Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi, Federated Learning under Heterogeneous and Correlated Client Availability (2023)