Intelligent data filtering in constrained IoT systems. - Igor Burago; Davide Callegaro; Marco Levorato; Sameer Singh 001 (ACSSC, 2017)

Optimal Computation Offloading in Edge-Assisted UAV Systems. - Davide Callegaro; Marco Levorato (GLOBECOM, 2018)

Information Autonomy: Self-Adaptive Information Management for Edge-Assisted Autonomous UAV Systems. - Davide Callegaro; Sabur Baidya; Gowri Sankar Ramachandran; Bhaskar Krishnamachari; Marco Levorato (MILCOM, 2019)

Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems. - Yoshitomo Matsubara; Sabur Baidya; Davide Callegaro; Marco Levorato; Sameer Singh 001 (HotEdgeVideo@MobiCom, 2019)

A Measurement Study on Edge Computing for Autonomous UAVs. - Davide Callegaro; Sabur Baidya; Marco Levorato (MAGESys@SIGCOMM, 2019)

Optimal Task Allocation for Time-Varying Edge Computing Systems with Split DNNs. - Davide Callegaro; Yoshitomo Matsubara; Marco Levorato (GLOBECOM, 2020)

Dynamic Distributed Computing for Infrastructure-Assisted Autonomous UAVs. - Davide Callegaro; Sabur Baidya; Marco Levorato (ICC, 2020)

Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems. - Yoshitomo Matsubara; Davide Callegaro; Sabur Baidya; Marco Levorato; Sameer Singh 001 (IEEE Access, 2020)

SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing. - Davide Callegaro; Marco Levorato; Francesco Restuccia 001 (SECON, 2021)

SeReMAS: Self-Resilient Mobile AutonomousSystems Through Predictive Edge Computing. - Davide Callegaro; Marco Levorato; Francesco Restuccia 001 (CoRR, 2021)

Optimal Edge Computing for Infrastructure-Assisted UAV Systems. - Davide Callegaro; Marco Levorato (IEEE Trans. Veh. Technol., 2021)

Resilient Computation Offloading for Real-Time Mobile Autonomous Systems. - Davide Callegaro (2021)

Deep Air - A Smart City AI Synthetic Data Digital Twin Solving the Scalability Data Problems. - Esteve Almirall; Davide Callegaro; Peter Bruins; Mar Santamaria; Pablo Martínez; Ulises Cortés (CCIA, 2022)

3D Object Detection for Aerial Platforms via Edge Computing: An Experimental Evaluation. - Alexander Lianides; Isaac Chan; Mohamed Ismail; Ian Harshbarger; Marco Levorato; Davide Callegaro; Sharon L. G. Contreras (DCOSS, 2022)

SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. - Davide Callegaro; Marco Levorato; Francesco Restuccia 001 (WoWMoM, 2022)

BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. - Yoshitomo Matsubara; Davide Callegaro; Sameer Singh 001; Marco Levorato; Francesco Restuccia 001 (WoWMoM, 2022)

Cloud-backed mobile cognition. - Augusto Vega; Alper Buyuktosunoglu; Davide Callegaro; Marco Levorato; Pradip Bose (Computing, 2022)

The use of Synthetic Data to solve the scalability and data availability problems in Smart City Digital Twins. - Esteve Almirall; Davide Callegaro; Peter Bruins; Mar Santamaria; Pablo Martínez; Ulises Cortés (CoRR, 2022)

Intrusion Detection Framework for Invasive FPV Drones Using Video Streaming Characteristics. - Anas Alsoliman; Giulio Rigoni; Davide Callegaro; Marco Levorato; Cristina M. Pinotti; Mauro Conti (ACM Trans. Cyber Phys. Syst., 2023)