Search Results for author: Davide Callegaro

Found 5 papers, 3 papers with code

The use of Synthetic Data to solve the scalability and data availability problems in Smart City Digital Twins

no code implementations6 Jul 2022 Esteve Almirall, Davide Callegaro, Peter Bruins, Mar Santamaría, Pablo Martínez, Ulises Cortés

However, Digital Twins are data intensive and need highly localized data, making them difficult to scale, particularly to small cities, and with the high cost associated to data collection.

SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection

no code implementations11 Jan 2022 Davide Callegaro, Francesco Restuccia, Marco Levorato

We extensively evaluate SmartDet on a real-world testbed composed of a JetSon Nano as mobile device and a GTX 980 Ti as edge server, connected through a Wi-Fi link.

Edge-computing object-detection +2

Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems

2 code implementations20 Nov 2020 Yoshitomo Matsubara, Davide Callegaro, Sabur Baidya, Marco Levorato, Sameer Singh

In this paper, we propose to modify the structure and training process of DNN models for complex image classification tasks to achieve in-network compression in the early network layers.

Edge-computing Knowledge Distillation +1

Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems

2 code implementations1 Oct 2019 Yoshitomo Matsubara, Sabur Baidya, Davide Callegaro, Marco Levorato, Sameer Singh

Offloading the execution of complex Deep Neural Networks (DNNs) models to compute-capable devices at the network edge, that is, edge servers, can significantly reduce capture-to-output delay.

Edge-computing Knowledge Distillation +1

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