57 citations · 58 across the 3 of their papers we have counts for
3 papers
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection
Davide Callegaro, Francesco Restuccia, Marco Levorato
Mobile devices increasingly rely on object detection (OD) through deep neural networks (DNNs) to perform critical tasks. Due to their high complexity, the execution of these DNNs r…
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing
Yoshitomo Matsubara, Davide Callegaro, Sameer Singh +2
Although mission-critical applications require the use of deep neural networks (DNNs), their continuous execution at mobile devices results in a significant increase in energy cons…
SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing
Davide Callegaro, Marco Levorato, Francesco Restuccia
Edge computing enables Mobile Autonomous Systems (MASs) to execute continuous streams of heavy-duty mission-critical processing tasks, such as real-time obstacle detection and navi…