Abstract: Machine learning models can support decision-making in mobile terminals (MTs) deployments, but their training generally requires massive datasets and abundant computation resources. This is ...
Abstract: Traditional Deep Learning (DL) approaches for medical image classification rely on centralized, static datasets, which do not adequately reflect the dynamic, real-world medical practice ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback