6 citations · 19 across the 16 of their papers we have counts for
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cs.LG2021★ 1 cited
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning
Eugenio Lomurno, Alberto Archetti, Lorenzo Cazzella +3
Privacy regulation laws, such as GDPR, impose transparency and security as design pillars for data processing algorithms. In this context, federated learning is one of the most inf…
cs.CV2021
Improving Multi-View Stereo via Super-Resolution
Eugenio Lomurno, Andrea Romanoni, Matteo Matteucci
Today, Multi-View Stereo techniques are able to reconstruct robust and detailed 3D models, especially when starting from high-resolution images. However, there are cases in which t…