1 citations · 1 across the 3 of their papers we have counts for
3 papers
Enhancing Split Computing and Early Exit Applications through Predefined Sparsity
Luigi Capogrosso, Enrico Fraccaroli, Giulio Petrozziello +4
In the past decade, Deep Neural Networks (DNNs) achieved state-of-the-art performance in a broad range of problems, spanning from object classification and action recognition to sm…
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing
Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty +2
Split Computing (SC), where a Deep Neural Network (DNN) is intelligently split with a part of it deployed on an edge device and the rest on a remote server is emerging as a promisi…
Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications
Luigi Capogrosso, Federico Cunico, Michele Lora +3
Many recent pattern recognition applications rely on complex distributed architectures in which sensing and computational nodes interact together through a communication network. D…