| 2022 | DCOSS | 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 |
| 2022 | WoWMoM | SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. | Davide Callegaro, Marco Levorato, Francesco Restuccia |
| 2022 | WoWMoM | BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. | Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia |
| 2021 | SECON | SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing. | Davide Callegaro, Marco Levorato, Francesco Restuccia |
| 2020 | GLOBECOM | Optimal Task Allocation for Time-Varying Edge Computing Systems with Split DNNs. | Davide Callegaro, Yoshitomo Matsubara, Marco Levorato |
| 2019 | MOBICOM | Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems. | Yoshitomo Matsubara, Sabur Baidya, Davide Callegaro, Marco Levorato, Sameer Singh |
| 2019 | SIGCOMM | A Measurement Study on Edge Computing for Autonomous UAVs. | Davide Callegaro, Sabur Baidya, Marco Levorato |
| 2018 | GLOBECOM | Optimal Computation Offloading in Edge-Assisted UAV Systems. | Davide Callegaro, Marco Levorato |
| 2017 | ACSSC | Intelligent data filtering in constrained IoT systems. | Igor Burago, Davide Callegaro, Marco Levorato, Sameer Singh |