About
Riccardo Zaccone is a Ph.D. candidate in Computer and Systems Engineering at Politecnico di Torino’s Department of Control and Computer Science (DAUIN), specializing in machine learning and computer vision. He also serves as an external lecturer and teaching assistant, contributing to courses in Machine Learning, Deep Learning, and Algorithms and Data Structures for Computer Science Engineering.
- Education: Ph.D. in Computer and Systems Engineering (2022–2025), Politecnico di Torino.
His research focuses on Federated Learning and Visual Place Recognition, addressing challenges in communication efficiency, distributed training, and cross-domain adaptation. Recent work includes
- Communication-efficient Federated Learning with Heavy-Ball Momentum (2025)
- MeshVPR for 3D-based Urban Navigation (2025)
- Distributed CosPlace Training for Large-Scale Localization (2024)
He collaborates with the VANDAL laboratory on multimodal learning applications and has co-authored publications in top-tier venues like ECCV, Frontiers in Robotics and AI, and ICPR.
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