Energy-efficient classification at the wireless edge with reliability guarantees

M Merluzzi, C Battiloro, P Di Lorenzo… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Learning at the edge is a challenging task from several perspectives, since data must be
collected by end devices (eg sensors), possibly pre-processed (eg data compression), and …

Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees

M Merluzzi, C Battiloro, P Di Lorenzo… - 2022 {IEEE} …, 2022 - iris.uniroma1.it
Learning at the edge is a challenging task from several perspectives, since data must be
collected by end devices (eg sensors), possibly pre-processed (eg data compression), and …

Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees

M Merluzzi, C Battiloro, P Di Lorenzo… - arXiv preprint arXiv …, 2022 - arxiv.org
Learning at the edge is a challenging task from several perspectives, since data must be
collected by end devices (eg sensors), possibly pre-processed (eg data compression), and …

Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees

M Merluzzi, C Battiloro, P Di Lorenzo… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Learning at the edge is a challenging task from several perspectives, since data must be
collected by end devices (eg sensors), possibly pre-processed (eg data compression), and …

Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees

M Merluzzi, C Battiloro, P Di Lorenzo, EC Strinati - openreview.net
Learning at the edge is a challenging task from several perspectives, since data must be
collected by end devices (eg sensors), possibly pre-processed (eg data compression), and …

Energy-efficient classification at the wireless edge with reliability guarantees

M Merluzzi, C Battiloro, P Di Lorenzo… - IEE ICC 2022-IEEE …, 2022 - cea.hal.science
Learning at the edge is a challenging task from several perspectives, since data must be
collected by end devices (eg sensors), possibly pre-processed (eg data compression), and …