2 papers
cs.AI2026
FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning
Lingyu Qiu, Daniela Annunziata, Stefano Izzo +2
With the widespread deployment of basic models in edge intelligence, communication bandwidth has become a core bottleneck restricting the scalability of federated learning. Althoug…
math.NA2021
Deep Learning for the Approximation of a Shape Functional
F. Calabrò, S. Cuomo, F. Giampaolo +4
Artificial Neuronal Networks are models widely used for many scientific tasks. One of the well-known field of application is the approximation of high-dimensional problems via Deep…