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ORCIDDavide Callegaro
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2020 – today
- 2023
[j4]Anas Alsoliman
, Giulio Rigoni, Davide Callegaro, Marco Levorato, Cristina M. Pinotti, Mauro Conti:
Intrusion Detection Framework for Invasive FPV Drones Using Video Streaming Characteristics. ACM Trans. Cyber Phys. Syst. 7(2): 12:1-12:29 (2023)- 2022
- [j3]Augusto Vega, Alper Buyuktosunoglu, Davide Callegaro, Marco Levorato, Pradip Bose:
Cloud-backed mobile cognition. Computing 104(3): 461-479 (2022) - [c12]Esteve Almirall, Davide Callegaro, Peter Bruins, Mar Santamaria, Pablo Martínez, Ulises Cortés:
Deep Air - A Smart City AI Synthetic Data Digital Twin Solving the Scalability Data Problems. CCIA 2022: 83-86 - [c11]Alexander Lianides, Isaac Chan, Mohamed Ismail, Ian Harshbarger, Marco Levorato, Davide Callegaro, Sharon L. G. Contreras:
3D Object Detection for Aerial Platforms via Edge Computing: An Experimental Evaluation. DCOSS 2022: 252-260 - [c10]Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia:
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. WoWMoM 2022: 337-346 - [c9]Davide Callegaro, Marco Levorato, Francesco Restuccia:
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. WoWMoM 2022: 357-366 - [i4]Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia:
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. CoRR abs/2201.02693 (2022) - [i3]Davide Callegaro, Francesco Restuccia, Marco Levorato:
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. CoRR abs/2201.04235 (2022) - [i2]Esteve Almirall, Davide Callegaro, Peter Bruins, Mar Santamaria, Pablo Martínez, Ulises Cortés:
The use of Synthetic Data to solve the scalability and data availability problems in Smart City Digital Twins. CoRR abs/2207.02953 (2022) - 2021
- [b1]Davide Callegaro:
Resilient Computation Offloading for Real-Time Mobile Autonomous Systems. University of California, Irvine, USA, 2021 - [j2]Davide Callegaro, Marco Levorato:
Optimal Edge Computing for Infrastructure-Assisted UAV Systems. IEEE Trans. Veh. Technol. 70(2): 1782-1792 (2021) - [c8]Davide Callegaro, Marco Levorato, Francesco Restuccia:
SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing. SECON 2021: 1-9 - [i1]Davide Callegaro, Marco Levorato, Francesco Restuccia:
SeReMAS: Self-Resilient Mobile AutonomousSystems Through Predictive Edge Computing. CoRR abs/2105.15105 (2021) - 2020
- [j1]Yoshitomo Matsubara, Davide Callegaro, Sabur Baidya, Marco Levorato, Sameer Singh:
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems. IEEE Access 8: 212177-212193 (2020) - [c7]Davide Callegaro, Yoshitomo Matsubara, Marco Levorato:
Optimal Task Allocation for Time-Varying Edge Computing Systems with Split DNNs. GLOBECOM 2020: 1-6 - [c6]Davide Callegaro, Sabur Baidya, Marco Levorato:
Dynamic Distributed Computing for Infrastructure-Assisted Autonomous UAVs. ICC 2020: 1-6
2010 – 2019
- 2019
- [c5]Davide Callegaro, Sabur Baidya, Gowri Sankar Ramachandran, Bhaskar Krishnamachari, Marco Levorato:
Information Autonomy: Self-Adaptive Information Management for Edge-Assisted Autonomous UAV Systems. MILCOM 2019: 40-45 - [c4]Yoshitomo Matsubara, Sabur Baidya, Davide Callegaro, Marco Levorato, Sameer Singh:
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems. HotEdgeVideo@MobiCom 2019: 21-26 - [c3]Davide Callegaro, Sabur Baidya, Marco Levorato:
A Measurement Study on Edge Computing for Autonomous UAVs. MAGESys@SIGCOMM 2019: 29-35 - 2018
- [c2]Davide Callegaro, Marco Levorato:
Optimal Computation Offloading in Edge-Assisted UAV Systems. GLOBECOM 2018: 1-6 - 2017
- [c1]Igor Burago, Davide Callegaro, Marco Levorato, Sameer Singh:
Intelligent data filtering in constrained IoT systems. ACSSC 2017: 928-935
Coauthor Index
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