Marco Levorato

ORCID

Publication Activity (10 Years)

Years Active: 2005-2025
Publications (10 Years): 137

Top Venues

CoRR

GLOBECOM

WoWMoM

IEEE Trans. Veh. Technol.

Publications

Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla-Fabiana Chiasserini
Dependable Distributed Training of Compressed Machine Learning Models. WoWMoM (2025)
Alessandro Buratto, Marco Levorato, Leonardo Badia
DCP: a TCP-Inspired Method for Online Domain Adaptation under Dynamic Data Drift. WoWMoM (2025)
Timothy K. Johnsen, Ian Harshbarger, Zixia Xia, Marco Levorato
NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation. WoWMoM (2025)
Ildi Alla, Hervé B. Olou, Valeria Loscrì, Marco Levorato
From Sound to Sight: Audio-Visual Fusion and Deep Learning for Drone Detection. WISEC (2024)
Timothy K. Johnsen, Ian Harshbarger, Zixia Xia, Marco Levorato
NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation. CoRR (2024)
Matteo Mendula, Paolo Bellavista, Marco Levorato, Sharon Ladron de Guevara Contreras
Furcifer: a Context Adaptive Middleware for Real-world Object Detection Exploiting Local, Edge, and Split Computing in the Cloud Continuum. PerCom (2024)
Chetna Singhal, Yashuo Wu, Francesco Malandrino, Marco Levorato, Carla-Fabiana Chiasserini
Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected Systems. CoRR (2024)
Eugen Slapak, Matús Dopiriak, Mohammad Abdullah Al Faruque, Juraj Gazda, Marco Levorato
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving. SMARTCOMP (2024)
Francesco Pessia, Juan-David Guerrero-Balaguera, Robert Limas Sierra, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda
Effective Application-level Error Modeling of Permanent Faults on AI Accelerators. IOLTS (2024)
Chetna Singhal, Y. Wu, Francesco Malandrino, Marco Levorato, Carla-Fabiana Chiasserini
Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected Systems. INFOCOM (2024)
Giuseppe Esposito, Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda
Assessing the Reliability of Different Split Computing Neural Network Applications. LATS (2024)
Seyed Amir Hossein Aqajari, Ziyu Wang, Ali Tazarv, Sina Labbaf, Salar Jafarlou, Brenda Nguyen, Nikil D. Dutt, Marco Levorato, Amir M. Rahmani
Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach. CoRR (2024)
Yenchia Yu, Marco Levorato, Carla-Fabiana Chiasserini
Tensor Compression and Reconstruction in Split DNN for Real-time Object Detection at the Edge. MeditCom (2024)
Timothy K. Johnsen, Marco Levorato
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks. IoTDI (2024)
Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini
Tuning DNN Model Compression to Resource and Data Availability in Cooperative Training. IEEE/ACM Trans. Netw. 32 (2) (2024)
Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla-Fabiana Chiasserini
Dependable Distributed Training of Compressed Machine Learning Models. CoRR (2024)
Giuseppe Esposito, Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda
Enhancing the Reliability of Split Computing Deep Neural Networks. IOLTS (2024)
Tim Johnsen, Marco Levorato
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks. CoRR (2024)
Eugen Slapak, Matús Dopiriak, Mohammad Abdullah Al Faruque, Juraj Gazda, Marco Levorato
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving. CoRR (2024)
Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda
Evaluating the Reliability of Supervised Compression for Split Computing. VTS (2024)
Daniele Cacciabue, Jacopo Marino, Francesco Aglieco, Marco Levorato, Domenico Perroni, Fulvio Risso
Benchmarking Different Strategies for Offloading ROS2 Computation to the Edge. NetSoft (2024)
Seyed Amir Hossein Aqajari, Sina Labbaf, Phuc Hoang Tran, Brenda Nguyen, Milad Asgari Mehrabadi, Marco Levorato, Nikil D. Dutt, Amir M. Rahmani
Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings. CoRR (2024)
Juliano S. Assine, José Cândido Silveira Santos Filho, Eduardo Valle, Marco Levorato
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems. WoWMoM (2023)
Forough Shirin Abkenar, Leonardo Badia, Marco Levorato
Selective Data Offloading in Edge Computing for Two-Tier Classification With Local Domain Partitions. PerCom Workshops (2023)
Niloofar Bahadori, Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia
SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing. ICDCS (2023)
Ali Tazarv, Sina Labbaf, Amir-Mohammad Rahmani, Nikil D. Dutt, Marco Levorato
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. CHASE (2023)
Mohanad Odema, Luke Chen, Marco Levorato, Mohammad Abdullah Al Faruque
Testudo: Collaborative Intelligence for Latency-Critical Autonomous Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (6) (2023)
Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng, Marco Levorato, Yonina C. Eldar, Mérouane Debbah
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing. IEEE J. Sel. Top. Signal Process. 17 (1) (2023)
Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges. ACM Comput. Surv. 55 (5) (2023)
Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini
Matching DNN Compression and Cooperative Training with Resources and Data Availability. INFOCOM (2023)
Yashuo Wu, Carla-Fabiana Chiasserini, Francesco Malandrino, Marco Levorato
Invited Paper: Enhancing Privacy in Federated Learning via Early Exit. ApPLIED@PODC (2023)
Anas Alsoliman, Forough Shirin Abkenar, Marco Levorato
State-Recovery Protocol for URLLC Applications in 5G Systems. WiSNeT (2023)
Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. CoRR (2023)
Forough Shirin Abkenar, Leonardo Badia, Marco Levorato
Online Domain Adaptive Classification for Mobile-to-Edge Computing. WoWMoM (2023)
Luis Felipe Florenzan Reyes, Francesco Smarra, Alessandro D'Innocenzo, Marco Levorato
CADET: Control-Aware Dynamic Edge Computing for Real-Time Target Tracking in UAV Systems. ICASSP (2023)
Wei Xu, Derrick Wing Kwan Ng, Marco Levorato, Yonina C. Eldar, Mérouane Debbah
Guest Editorial Distributed Signal Processing for Edge Learning in B5G IoT Networks. IEEE J. Sel. Top. Signal Process. 17 (1) (2023)
Juan-David Guerrero-Balaguera, Ian Harshbarger, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda
Reliability Estimation of Split DNN Models for Distributed Computing in IoT Systems. ISIE (2023)
Niloofar Bahadori, Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia
SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing. CoRR (2023)
Sharon L. G. Contreras, Marco Levorato
Context-Aware Heterogeneous Task Scheduling for Multi-Layered Systems. WoWMoM (2023)
Juliano S. Assine, José Cândido Silveira Santos Filho, Eduardo Valle, Marco Levorato
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems. CoRR (2023)
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) (2023)
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt
SC2 Benchmark: Supervised Compression for Split Computing. Trans. Mach. Learn. Res. 2023 (2023)
Soyi Jung, Chanyoung Park, Marco Levorato, Jae-Hyun Kim, Joongheon Kim
Two-Stage Self-Adaptive Task Outsourcing Decision Making for Edge-Assisted Multi-UAV Networks. IEEE Trans. Veh. Technol. 72 (11) (2023)
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt
SC2: Supervised Compression for Split Computing. CoRR (2022)
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)
Davide Callegaro, Marco Levorato, Francesco Restuccia
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. WoWMoM (2022)
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)
Davide Callegaro, Francesco Restuccia, Marco Levorato
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. CoRR (2022)
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 (2022)
Delaram Amiri, Janne Takalo-Mattila, Luca Bedogni, Marco Levorato, Nikil D. Dutt
SIC-EDGE: Semantic Iterative ECG Compression for Edge-Assisted Wearable Systems. WoWMoM (2022)
Augusto Vega, Alper Buyuktosunoglu, Davide Callegaro, Marco Levorato, Pradip Bose
Cloud-backed mobile cognition. Computing 104 (3) (2022)
Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini
Matching DNN Compression and Cooperative Training with Resources and Data Availability. CoRR (2022)
Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng, Marco Levorato, Yonina C. Eldar, Mérouane Debbah
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing. CoRR (2022)
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt
Supervised Compression for Resource-Constrained Edge Computing Systems. WACV (2022)
Kevin Choi, Luca Bedogni, Marco Levorato
Enabling Green Crowdsourced Social Delivery Networks in Urban Communities. Sensors 22 (4) (2022)
Anas Alsoliman, Giulio Rigoni, Marco Levorato, Cristina M. Pinotti, Nils Ole Tippenhauer, Mauro Conti
COTS Drone Detection using Video Streaming Characteristics. ICDCN (2021)
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt
Supervised Compression for Resource-constrained Edge Computing Systems. CoRR (2021)
Yoo Jeong Ha, Soyi Jung, Jae-Hyun Kim, Marco Levorato, Joongheon Kim
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks. CoRR (2021)
Davide Callegaro, Marco Levorato
Optimal Edge Computing for Infrastructure-Assisted UAV Systems. IEEE Trans. Veh. Technol. 70 (2) (2021)
Peyman Tehrani, Francesco Restuccia, Marco Levorato
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks. DySPAN (2021)
Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. CoRR (2021)
Davide Callegaro, Marco Levorato, Francesco Restuccia
SeReMAS: Self-Resilient Mobile AutonomousSystems Through Predictive Edge Computing. CoRR (2021)
Soyi Jung, Joongheon Kim, Marco Levorato, Carlos Cordeiro, Jae-Hyun Kim
Infrastructure-Assisted on-Driving Experience Sharing for Millimeter-Wave Connected Vehicles. IEEE Trans. Veh. Technol. 70 (8) (2021)
Max Willian Soares Lima, Leonardo Guimarães, Eulanda Miranda dos Santos, Edleno Silva de Moura, Rafael Kohler Costa, Marco Levorato, Horacio A. B. Fernandes de Oliveira
A Small World Graph Approach for an Efficient Indoor Positioning System. Sensors 21 (15) (2021)
Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges. CoRR (2021)
Ali Tazarv, Marco Levorato
A Deep Learning Approach to Predict Blood Pressure from PPG Signals. EMBC (2021)
Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. GoodIT (2021)
Ali Tazarv, Marco Levorato
A Deep Learning Approach to Predict Blood Pressure from PPG Signals. CoRR (2021)
Davide Callegaro, Marco Levorato, Francesco Restuccia
SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing. SECON (2021)
Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. CoRR (2021)
Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. EMBC (2021)
Peyman Tehrani, Francesco Restuccia, Marco Levorato
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks. CoRR (2021)
Sabur Baidya, Marco Levorato
On the Feasibility of Infrastructure Assistance to Autonomous UAV Systems. DCOSS (2020)
Sabur Baidya, Peyman Tehrani, Marco Levorato
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. CoRR (2020)
Peyman Tehrani, Marco Levorato
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems. SmartGridComm (2020)
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 (2020)
Sabur Baidya, Peyman Tehrani, Marco Levorato
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. ICC Workshops (2020)
Yoshitomo Matsubara, Marco Levorato
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks. CoRR (2020)
Yoshitomo Matsubara, Marco Levorato
Split Computing for Complex Object Detectors: Challenges and Preliminary Results. CoRR (2020)
Davide Callegaro, Yoshitomo Matsubara, Marco Levorato
Optimal Task Allocation for Time-Varying Edge Computing Systems with Split DNNs. GLOBECOM (2020)
Peyman Tehrani, Marco Levorato
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems. CoRR (2020)
Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems. ACM Trans. Comput. Heal. 1 (2) (2020)
Davide Callegaro, Sabur Baidya, Marco Levorato
Dynamic Distributed Computing for Infrastructure-Assisted Autonomous UAVs. ICC (2020)
Anas Alsoliman, Abdulrahman Bin Rabiah, Marco Levorato
Privacy-Preserving Authentication Framework for UAS Traffic Management Systems. CSNet (2020)
Myungjae Shin, Joongheon Kim, Marco Levorato
Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networks. CoRR (2020)
Kevin Choi, Luca Bedogni, Marco Levorato
Towards Green Crowdsourced Social Delivery Networks: A Feasibility Study. GLOBECOM (2020)
Yoshitomo Matsubara, Marco Levorato
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks. ICPR (2020)
Arman Anzanpour, Delaram Amiri, Iman Azimi, Marco Levorato, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani
Edge-Assisted Control for Healthcare Internet of Things: A Case Study on PPG-Based Early Warning Score. ACM Trans. Internet Things 2 (1) (2020)
Myungjae Shin, Joongheon Kim, Marco Levorato
Auction-Based Charging Scheduling With Deep Learning Framework for Multi-Drone Networks. IEEE Trans. Veh. Technol. 68 (5) (2019)
Tao-Yi Lee, Marco Levorato, Nikil D. Dutt
DNN-Assisted Sensor for Energy-Efficient ECG Monitoring. GLOBECOM (2019)
Korosh Vatanparvar, Sina Faezi, Igor Burago, Marco Levorato, Mohammad Abdullah Al Faruque
Extended Range Electric Vehicle With Driving Behavior Estimation in Energy Management. IEEE Trans. Smart Grid 10 (3) (2019)
Hyun-Ho Choi, Wonjae Shin, Marco Levorato, H. Vincent Poor
Harvest-Or-Access: Slotted ALOHA for Wireless Powered Communication Networks. IEEE Trans. Veh. Technol. 68 (11) (2019)
Sabur Baidya, Marco Levorato
On the Feasibility of Infrastructure Assistance to Autonomous UAV Systems. CoRR (2019)
Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir-Mohammad Rahmani, Pasi Liljeberg, Nikil D. Dutt, Marco Levorato
Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control. CoRR (2019)
Yoshitomo Matsubara, Sabur Baidya, Davide Callegaro, Marco Levorato, Sameer Singh
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems. HotEdgeVideo@MOBICOM (2019)
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)
Davide Callegaro, Sabur Baidya, Marco Levorato
A Measurement Study on Edge Computing for Autonomous UAVs. MAGESys@SIGCOMM (2019)
Luca Bedogni, Octavian Bujor, Marco Levorato
Texting and Driving Recognition Exploiting Subsequent Turns Leveraging Smartphone Sensors. WOWMOM (2019)
Igor Burago, Marco Levorato
Cloud-Assisted On-Sensor Observation Classification in Latency-Impeded IoT Systems. ISIT (2019)
Igor Bisio, Chiara Garibotto, Fabio Lavagetto, Marco Levorato, Andrea Sciarrone
Statistical Analysis of Wireless Traffic: An Adversarial Approach to Drone Surveillance. GLOBECOM (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marco Levorato