no code implementations • 31 Mar 2023 • Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci
Data carry a value that might vanish when shared with others; the ability to avoid sharing the data enables industrial applications where security and privacy are of paramount importance, making it possible to train global models by implementing only local policies which can be run independently and even on air-gapped data centres.
1 code implementation • 19 Mar 2023 • Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci
Training Deep Learning (DL) models require large, high-quality datasets, often assembled with data from different institutions.
1 code implementation • 19 Jun 2018 • Daniele Cesarini, Andrea Bartolini, Pietro Bonfà, Carlo Cavazzoni, Luca Benini
Power consumption is a looming treat in today's computing progress.
Distributed, Parallel, and Cluster Computing