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2020 – today
- 2025
[c121]Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla-Fabiana Chiasserini:
Dependable Distributed Training of Compressed Machine Learning Models. WoWMoM 2025: 147-156- [c120]Timothy K. Johnsen, Ian Harshbarger, Zixia Xia, Marco Levorato:
NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation. WoWMoM 2025: 196-201 - [c119]Alessandro Buratto
, Marco Levorato, Leonardo Badia:
DCP: a TCP-Inspired Method for Online Domain Adaptation under Dynamic Data Drift. WoWMoM 2025: 269-278 - 2024
- [j48]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): 1600-1615 (2024) - [c118]Simone Angelucci, Roberto Valentini, Marco Levorato, Fortunato Santucci, Carla-Fabiana Chiasserini:
Edge Computing with Early Exiting for Adaptive Inference in Mobile Autonomous Systems. ICC 2024: 2980-2985 - [c117]Chetna Singhal, Y. Wu, Francesco Malandrino, Marco Levorato, Carla-Fabiana Chiasserini:
Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected Systems. INFOCOM 2024: 1621-1630 - [c116]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: 1-7 - [c115]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: 1-7 - [c114]Timothy K. Johnsen, Marco Levorato:
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks. IoTDI 2024: 110-121 - [c113]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: 1-6 - [c112]Yenchia Yu, Marco Levorato, Carla-Fabiana Chiasserini:
Tensor Compression and Reconstruction in Split DNN for Real-time Object Detection at the Edge. MeditCom 2024: 149-154 - [c111]Daniele Cacciabue, Jacopo Marino, Francesco Aglieco, Marco Levorato, Domenico Perroni, Fulvio Risso:
Benchmarking Different Strategies for Offloading ROS2 Computation to the Edge. NetSoft 2024: 49-54 - [c110]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: 47-56 - [c109]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: 71-76 - [c108]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda:
Evaluating the Reliability of Supervised Compression for Split Computing. VTS 2024: 1-6 - [c107]Ildi Alla, Hervé B. Olou, Valeria Loscrì, Marco Levorato:
From Sound to Sight: Audio-Visual Fusion and Deep Learning for Drone Detection. WISEC 2024: 123-133 - [i47]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 abs/2401.05367 (2024) - [i46]Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla-Fabiana Chiasserini:
Dependable Distributed Training of Compressed Machine Learning Models. CoRR abs/2402.14346 (2024) - [i45]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 abs/2402.14642 (2024) - [i44]Chetna Singhal, Yashuo Wu, Francesco Malandrino, Marco Levorato, Carla-Fabiana Chiasserini:
Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected Systems. CoRR abs/2404.08060 (2024) - [i43]Timothy K. Johnsen, Ian Harshbarger, Zixia Xia, Marco Levorato:
NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation. CoRR abs/2406.13086 (2024) - [i42]Tim Johnsen, Marco Levorato:
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks. CoRR abs/2407.01563 (2024) - [i41]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 abs/2407.08215 (2024) - [i40]Xiaofan Lu, Yixiao Zeng, Feiyang Ma, Zixu Yu, Marco Levorato:
Improving Multi-candidate Speculative Decoding. CoRR abs/2409.10644 (2024) - 2023
- [j47]Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia:
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges. ACM Comput. Surv. 55(5): 90:1-90:30 (2023) - [j46]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): 3-8 (2023) - [j45]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): 9-39 (2023) - [j44]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): 1770-1783 (2023) - [j43]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) - [j42]Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt:
SC2 Benchmark: Supervised Compression for Split Computing. Trans. Mach. Learn. Res. 2023 (2023) - [j41]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): 14889-14905 (2023) - [c106]Yashuo Wu, Carla-Fabiana Chiasserini, Francesco Malandrino, Marco Levorato:
Invited Paper: Enhancing Privacy in Federated Learning via Early Exit. ApPLIED@PODC 2023: 10:1-10:5 - [c105]Ali Tazarv, Sina Labbaf, Amir-Mohammad Rahmani, Nikil D. Dutt, Marco Levorato:
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. CHASE 2023: 44-55 - [c104]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: 1-5 - [c103]Niloofar Bahadori, Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia:
SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing. ICDCS 2023: 864-874 - [c102]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: 1-10 - [c101]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: 1-4 - [c100]Forough Shirin Abkenar, Leonardo Badia, Marco Levorato:
Selective Data Offloading in Edge Computing for Two-Tier Classification With Local Domain Partitions. PerCom Workshops 2023: 56-61 - [c99]Anas Alsoliman, Forough Shirin Abkenar, Marco Levorato:
State-Recovery Protocol for URLLC Applications in 5G Systems. WiSNeT 2023: 20-23 - [c98]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: 1-9 - [c97]Forough Shirin Abkenar, Leonardo Badia, Marco Levorato:
Online Domain Adaptive Classification for Mobile-to-Edge Computing. WoWMoM 2023: 21-29 - [c96]Sharon L. G. Contreras, Marco Levorato:
Context-Aware Heterogeneous Task Scheduling for Multi-Layered Systems. WoWMoM 2023: 195-204 - [i39]Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato:
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. CoRR abs/2305.00111 (2023) - [i38]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 abs/2306.12691 (2023) - [i37]Niloofar Bahadori, Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia:
SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing. CoRR abs/2310.08656 (2023) - 2022
- [j40]Augusto Vega, Alper Buyuktosunoglu, Davide Callegaro, Marco Levorato, Pradip Bose:
Cloud-backed mobile cognition. Computing 104(3): 461-479 (2022) - [j39]Kevin Choi, Luca Bedogni, Marco Levorato:
Enabling Green Crowdsourced Social Delivery Networks in Urban Communities. Sensors 22(4): 1541 (2022) - [c95]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 - [c94]Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt:
Supervised Compression for Resource-Constrained Edge Computing Systems. WACV 2022: 923-933 - [c93]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 - [c92]Davide Callegaro, Marco Levorato, Francesco Restuccia:
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. WoWMoM 2022: 357-366 - [c91]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: 377-385 - [i36]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) - [i35]Davide Callegaro, Francesco Restuccia, Marco Levorato:
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. CoRR abs/2201.04235 (2022) - [i34]Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt:
SC2: Supervised Compression for Split Computing. CoRR abs/2203.08875 (2022) - [i33]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 abs/2206.00422 (2022) - [i32]Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini:
Matching DNN Compression and Cooperative Training with Resources and Data Availability. CoRR abs/2212.02304 (2022) - 2021
- [j38]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): 5013 (2021) - [j37]Davide Callegaro, Marco Levorato:
Optimal Edge Computing for Infrastructure-Assisted UAV Systems. IEEE Trans. Veh. Technol. 70(2): 1782-1792 (2021) - [j36]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): 7307-7321 (2021) - [c90]Peyman Tehrani, Francesco Restuccia, Marco Levorato:
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks. DySPAN 2021: 248-253 - [c89]Ali Tazarv, Marco Levorato:
A Deep Learning Approach to Predict Blood Pressure from PPG Signals. EMBC 2021: 5658-5662 - [c88]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: 7332-7335 - [c87]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: 186-191 - [c86]Anas Alsoliman, Giulio Rigoni, Marco Levorato, Cristina M. Pinotti, Nils Ole Tippenhauer, Mauro Conti:
COTS Drone Detection using Video Streaming Characteristics. ICDCN 2021: 166-175 - [c85]Davide Callegaro, Marco Levorato, Francesco Restuccia:
SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing. SECON 2021: 1-9 - [i31]Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia:
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges. CoRR abs/2103.04505 (2021) - [i30]Davide Callegaro, Marco Levorato, Francesco Restuccia:
SeReMAS: Self-Resilient Mobile AutonomousSystems Through Predictive Edge Computing. CoRR abs/2105.15105 (2021) - [i29]Ali Tazarv, Marco Levorato:
A Deep Learning Approach to Predict Blood Pressure from PPG Signals. CoRR abs/2108.00099 (2021) - [i28]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 abs/2108.00144 (2021) - [i27]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 abs/2108.01169 (2021) - [i26]Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt:
Supervised Compression for Resource-constrained Edge Computing Systems. CoRR abs/2108.11898 (2021) - [i25]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 abs/2111.11856 (2021) - [i24]Peyman Tehrani, Francesco Restuccia, Marco Levorato:
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks. CoRR abs/2112.03465 (2021) - 2020
- [j35]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) - [j34]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): 7:1-7:25 (2020) - [j33]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): 1:1-1:21 (2020) - [c84]Anas Alsoliman, Abdulrahman Bin Rabiah, Marco Levorato:
Privacy-Preserving Authentication Framework for UAS Traffic Management Systems. CSNet 2020: 1-8 - [c83]Sabur Baidya, Marco Levorato:
On the Feasibility of Infrastructure Assistance to Autonomous UAV Systems. DCOSS 2020: 296-303 - [c82]Davide Callegaro, Yoshitomo Matsubara, Marco Levorato:
Optimal Task Allocation for Time-Varying Edge Computing Systems with Split DNNs. GLOBECOM 2020: 1-6 - [c81]Kevin Choi, Luca Bedogni, Marco Levorato:
Towards Green Crowdsourced Social Delivery Networks: A Feasibility Study. GLOBECOM 2020: 1-6 - [c80]Sabur Baidya, Peyman Tehrani, Marco Levorato:
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. ICC Workshops 2020: 1-6 - [c79]Davide Callegaro, Sabur Baidya, Marco Levorato:
Dynamic Distributed Computing for Infrastructure-Assisted Autonomous UAVs. ICC 2020: 1-6 - [c78]Yoshitomo Matsubara, Marco Levorato:
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks. ICPR 2020: 2272-2279 - [c77]Peyman Tehrani, Marco Levorato:
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems. SmartGridComm 2020: 1-6 - [i23]Myungjae Shin, Joongheon Kim, Marco Levorato:
Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networks. CoRR abs/2001.03611 (2020) - [i22]Sabur Baidya, Peyman Tehrani, Marco Levorato:
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. CoRR abs/2004.01300 (2020) - [i21]Yoshitomo Matsubara, Marco Levorato:
Split Computing for Complex Object Detectors: Challenges and Preliminary Results. CoRR abs/2007.13312 (2020) - [i20]Yoshitomo Matsubara, Marco Levorato:
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks. CoRR abs/2007.15818 (2020) - [i19]Peyman Tehrani, Marco Levorato:
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems. CoRR abs/2009.06825 (2020)
2010 – 2019
- 2019
- [j32]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): 2959-2968 (2019) - [j31]Myungjae Shin, Joongheon Kim, Marco Levorato:
Auction-Based Charging Scheduling With Deep Learning Framework for Multi-Drone Networks. IEEE Trans. Veh. Technol. 68(5): 4235-4248 (2019) - [j30]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): 11394-11398 (2019) - [c76]Igor Bisio, Chiara Garibotto, Fabio Lavagetto, Marco Levorato, Andrea Sciarrone:
Statistical Analysis of Wireless Traffic: An Adversarial Approach to Drone Surveillance. GLOBECOM 2019: 1-6 - [c75]Tao-Yi Lee, Marco Levorato, Nikil D. Dutt:
DNN-Assisted Sensor for Energy-Efficient ECG Monitoring. GLOBECOM 2019: 1-6 - [c74]Roberto Valentini, Roberto Alesii, Marco Levorato, Fortunato Santucci:
Cross-Layer Analysis of RFID Systems with Correlated Shadowing and Random Radiation Efficiency. ICC 2019: 1-7 - [c73]Igor Burago, Marco Levorato:
Cloud-Assisted On-Sensor Observation Classification in Latency-Impeded IoT Systems. ISIT 2019: 1462-1466 - [c72]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 - [c71]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 - [c70]Davide Callegaro, Sabur Baidya, Marco Levorato:
A Measurement Study on Edge Computing for Autonomous UAVs. MAGESys@SIGCOMM 2019: 29-35 - [c69]Luca Bedogni, Octavian Bujor, Marco Levorato:
Texting and Driving Recognition Exploiting Subsequent Turns Leveraging Smartphone Sensors. WOWMOM 2019: 1-9 - [i18]Sabur Baidya, Marco Levorato:
On the Feasibility of Infrastructure Assistance to Autonomous UAV Systems. CoRR abs/1907.10689 (2019) - [i17]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 abs/1907.11989 (2019) - 2018
- [j29]Sanaz Rahimi Moosavi, Ethiopia Nigussie, Marco Levorato, Seppo Virtanen, Jouni Isoaho:
Low-Latency Approach for Secure ECG Feature Based Cryptographic Key Generation. IEEE Access 6: 428-442 (2018) - [j28]Kisong Lee, Jun-Pyo Hong, Hyun-Ho Choi, Marco Levorato:
Adaptive Wireless-Powered Relaying Schemes With Cooperative Jamming for Two-Hop Secure Communication. IEEE Internet Things J. 5(4): 2793-2803 (2018) - [j27]Sabur Baidya, Marco Levorato:
Content-Aware Cognitive Interference Control for Urban IoT Systems. IEEE Trans. Cogn. Commun. Netw. 4(3): 500-512 (2018) - [j26]Roberto Valentini, Marco Levorato, Fortunato Santucci:
Optimal Aging-Aware Channel Access and Power Allocation for Battery-Powered Devices With Radio Frequency Energy Harvesting. IEEE Trans. Commun. 66(11): 5773-5787 (2018) - [j25]Nadia Ahmed, Marco Levorato, G. P. Li:
Residential Consumer-Centric Demand Side Management. IEEE Trans. Smart Grid 9(5): 4513-4524 (2018) - [c68]Igor Burago, Marco Levorato:
Randomized Edge-Assisted On-Sensor Information Selection for Bandwidth-Constrained Systems. ACSSC 2018: 1462-1469 - [c67]Sanaz Rahimi Moosavi, Ethiopia Nigussie, Marco Levorato, Seppo Virtanen, Jouni Isoaho:
Performance Analysis of End-to-End Security Schemes in Healthcare IoT. ANT/SEIT 2018: 432-439 - [c66]Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt:
Edge-Assisted Sensor Control in Healthcare IoT. GLOBECOM 2018: 1-6 - [c65]Luca Bedogni, Marco Levorato:
Rising User Privacy Against Predictive Context Awareness Through Adversarial Information Injection. GLOBECOM 2018: 1-6 - [c64]Davide Callegaro, Marco Levorato:
Optimal Computation Offloading in Edge-Assisted UAV Systems. GLOBECOM 2018: 1-6 - [c63]Anna V. Guglielmi, Marco Levorato, Leonardo Badia:
A Bayesian Game Theoretic Approach to Task Offloading in Edge and Cloud Computing. ICC Workshops 2018: 1-6 - [c62]Sabur Baidya, Yan Chen, Marco Levorato:
eBPF-based content and computation-aware communication for real-time edge computing. INFOCOM Workshops 2018: 865-870 - [c61]Igor Burago, Marco Levorato:
Edge-Assited On-Sensor Information Selection for Bandwidth-Constrained System. ITA 2018: 1 - [c60]Sabur Baidya, Zoheb Shaikh, Marco Levorato:
FlyNetSim: An Open Source Synchronized UAV Network Simulator based on ns-3 and Ardupilot. MSWiM 2018: 37-45 - [c59]Max Willian Soares Lima, Horacio A. B. Fernandes de Oliveira, Eulanda Miranda dos Santos, Edleno Silva de Moura, Rafael Kohler Costa, Marco Levorato:
Efficient and Robust WiFi Indoor Positioning Using Hierarchical Navigable Small World Graphs. NCA 2018: 1-5 - [c58]Zoheb Shaikh, Sabur Baidya, Marco Levorato:
Robust Multi-Path Communications for UAVs in the Urban IoT. SECON Workshops 2018: 29-33 - [i16]Zoheb Shaikh, Sabur Baidya, Marco Levorato:
Robust Multi-Path Communications for UAVs in the Urban IoT. CoRR abs/1805.00151 (2018) - [i15]Sabur Baidya, Yan Chen, Marco Levorato:
eBPF-based Content and Computation-aware Communication for Real-time Edge Computing. CoRR abs/1805.02797 (2018) - [i14]Sabur Baidya, Zoheb Shaikh, Marco Levorato:
FlyNetSim: An Open Source Synchronized UAV Network Simulator based on ns-3 and Ardupilot. CoRR abs/1808.04967 (2018) - 2017
- [j24]Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt:
HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT. ACM Trans. Embed. Comput. Syst. 16(5s): 174:1-174:20 (2017) - [c57]Igor Burago, Davide Callegaro, Marco Levorato, Sameer Singh:
Intelligent data filtering in constrained IoT systems. ACSSC 2017: 928-935 - [c56]Korosh Vatanparvar, Sina Faezi, Igor Burago, Marco Levorato, Mohammad Abdullah Al Faruque:
Driving behavior modeling and estimation for battery optimization in electric vehicles: work-in-progress. CODES+ISSS 2017: 15:1-15:2 - [c55]Sabur Baidya, Marco Levorato:
Content-based interference management for video transmission in D2D communications underlaying LTE. ICNC 2017: 144-149 - [c54]Sabur Baidya, Marco Levorato:
Edge-assisted content and computation-driven dynamic network selection for real-time services in the urban IoT. INFOCOM Workshops 2017: 796-801 - [c53]Nicolò Michelusi, Marco Levorato:
Energy-based adaptive multiple access in LPWAN IoT systems with energy harvesting. ISIT 2017: 1112-1116 - [c52]Igor Burago, Marco Levorato, Sameer Singh:
Semantic compression for edge-assisted systems. ITA 2017: 1-7 - [c51]Igor Burago, Marco Levorato, Aakanksha Chowdhery:
Bandwidth-Aware Data Filtering in Edge-Assisted Wireless Sensor Systems. SECON 2017: 1-9 - [c50]Marco Levorato:
Cognitive Networking with Dynamic Traffic Classification and QoS Constraints. WCNC 2017: 1-6 - [i13]Igor Burago, Marco Levorato, Sameer Singh:
Semantic Compression for Edge-Assisted Systems. CoRR abs/1702.05863 (2017) - 2016
- [j23]Marco Levorato, Pradeep Chathuranga Weeraddana, Carlo Fischione:
Distributed Optimization of Channel Access Strategies in Reactive Cognitive Networks. IEEE Trans. Commun. 64(10): 4121-4133 (2016) - [j22]Roberto Valentini, Marco Levorato, Fortunato Santucci:
Aging Aware Random Channel Access for Battery-Powered Wireless Networks. IEEE Wirel. Commun. Lett. 5(2): 176-179 (2016) - [c49]Sabur Baidya, Marco Levorato:
Content-Based Cognitive Interference Control for City Monitoring Applications in the Urban IoT. GLOBECOM 2016: 1-6 - [c48]Roberto Valentini, Marco Levorato:
Optimal aging-aware channel access control for wireless networks with energy harvesting. ISIT 2016: 2754-2758 - [i12]Sabur Baidya, Marco Levorato:
Content-Based Interference Management for Video Transmission in D2D Communications Underlaying LTE. CoRR abs/1606.01953 (2016) - [i11]Sabur Baidya, Marco Levorato:
Content-based Cognitive Interference Control for City Monitoring Applications in the Urban IoT. CoRR abs/1606.01965 (2016) - [i10]Nicolò Michelusi, Marco Levorato:
Energy-Based Adaptive Multiple Access in LoRaWAN IoT Systems with Energy Harvesting. CoRR abs/1611.04150 (2016) - 2015
- [j21]Igor Burago, Marco Levorato:
Network Estimation in Cognition-Empowered Wireless Networks. IEEE Trans. Cogn. Commun. Netw. 1(2): 244-256 (2015) - [c47]Roberto Valentini, Marco Levorato, Carlo Fischione:
Performance analysis of IEEE 802.15.3c-Based mmW wireless networks. CISS 2015: 1-6 - [c46]Nga Dang, Roberto Valentini, Eli Bozorgzadeh, Marco Levorato, Nalini Venkatasubramanian:
A Unified Stochastic Model for Energy Management in Solar-Powered Embedded Systems. ICCAD 2015: 621-626 - [c45]Marco Levorato, Nalini Venkatasubramanian, Nikil D. Dutt:
Heat-aware transmission strategies. ITA 2015: 154-162 - [c44]Roberto Valentini, Nga Dang, Marco Levorato, Eli Bozorgzadeh:
Modeling and control battery aging in energy harvesting systems. SmartGridComm 2015: 515-520 - [i9]Qing Han, Chenxi Wang, Marco Levorato, Osvaldo Simeone:
On the Effect of Fronthaul Latency on ARQ in C-RAN Systems. CoRR abs/1510.07176 (2015) - [i8]Roberto Valentini, Nga Dang, Marco Levorato, Eli Bozorgzadeh:
Modeling And Control Battery Aging in Energy Harvesting Systems. CoRR abs/1511.03495 (2015) - 2014
- [j20]Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra:
Active Classification for POMDPs: A Kalman-Like State Estimator. IEEE Trans. Signal Process. 62(23): 6209-6224 (2014) - [j19]Federico Librino, Marco Levorato, Michele Zorzi:
An algorithmic solution for computing circle intersection areas and its applications to wireless communications. Wirel. Commun. Mob. Comput. 14(18): 1672-1690 (2014) - [c43]Marco Levorato, Pradeep Chathuranga Weeraddana, Carlo Fischione:
Distributed optimization of transmission strategies in reactive cognitive networks. GLOBECOM 2014: 905-910 - [c42]Marco Levorato, Nadia Ahmed, Yang Arthur Zhang:
Consumer in-the-loop: Consumers as part of residential smart energy systems. SmartGridComm 2014: 758-763 - 2013
- [j18]Nicolò Michelusi, Petar Popovski, Osvaldo Simeone, Marco Levorato, Michele Zorzi:
Cognitive Access Policies under a Primary ARQ Process via Forward-Backward Interference Cancellation. IEEE J. Sel. Areas Commun. 31(11): 2374-2386 (2013) - [j17]Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra:
Energy-Efficient, Heterogeneous Sensor Selection for Physical Activity Detection in Wireless Body Area Networks. IEEE Trans. Signal Process. 61(7): 1581-1594 (2013) - [c41]Marco Levorato, Sunil K. Narang, Urbashi Mitra, Antonio Ortega:
Optimization of wireless networks via graph interpolation. GlobalSIP 2013: 483-486 - [c40]Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra:
Kalman-like state tracking and control in POMDPS with applications to body sensing networks. ICASSP 2013: 5715-5719 - [c39]Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra:
Non-linear smoothers for discrete-time, finite-state Markov chains. ISIT 2013: 2099-2103 - [c38]Marco Levorato, Urbashi Mitra:
Cognitive Networks with Dynamic User Classification for Tactical Communications. MILCOM 2013: 1675-1680 - [i7]Nicolò Michelusi, Petar Popovski, Osvaldo Simeone, Marco Levorato, Michele Zorzi:
Cognitive Access Policies under a Primary ARQ process via Forward-Backward Interference Cancellation. CoRR abs/1302.1079 (2013) - [i6]Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra:
Active Classification for POMDPs: a Kalman-like State Estimator. CoRR abs/1312.2039 (2013) - 2012
- [j16]Urbashi Mitra, B. Adar Emken, Sangwon Lee, Ming Li, Viktor Rozgic, Gautam Thatte, Harshvardhan Vathsangam, Daphney-Stavroula Zois, Murali Annavaram, Shrikanth S. Narayanan, Marco Levorato, Donna Spruijt-Metz, Gaurav S. Sukhatme:
KNOWME: a case study in wireless body area sensor network design. IEEE Commun. Mag. 50(5): 116-125 (2012) - [j15]Marco Levorato, Urbashi Mitra, Andrea Goldsmith:
Structure-based learning in wireless networks via sparse approximation. EURASIP J. Wirel. Commun. Netw. 2012: 278 (2012) - [j14]Andrea Munari, Marco Levorato, Michele Zorzi:
On the Impact of Carrier Sense Based Medium Access Control on Cooperative Schemes in Wireless Ad Hoc Networks. IEEE Trans. Commun. 60(10): 3032-3046 (2012) - [j13]Marco Levorato, Urbashi Mitra, Michele Zorzi:
Cognitive Interference Management in Retransmission-Based Wireless Networks. IEEE Trans. Inf. Theory 58(5): 3023-3046 (2012) - [j12]Marco Levorato, Sina Firouzabadi, Andrea Goldsmith:
A Learning Framework for Cognitive Interference Networks with Partial and Noisy Observations. IEEE Trans. Wirel. Commun. 11(9): 3101-3111 (2012) - [c37]Apostol T. Gjika, Marco Levorato, Antonio Ortega, Urbashi Mitra:
Online learning in wireless networks via directed graph lifting transform. Allerton Conference 2012: 1002-1009 - [c36]Marco Levorato, Urbashi Mitra:
Scale Invariance and Long-Range Dependence in Smart Energy Grids. APSIPA 2012: 1-8 - [c35]Marco Levorato, Sunil K. Narang, Urbashi Mitra, Antonio Ortega:
Reduced dimension policy iteration for wireless network control via multiscale analysis. GLOBECOM 2012: 3886-3892 - [c34]Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra:
Heterogeneous time-resource allocation in Wireless Body Area Networks for Green, maximum likelihood activity detection. ICC 2012: 3399-3403 - [c33]Marco Levorato, Urbashi Mitra:
Fast anomaly detection in SmartGrids via sparse approximation theory. SAM 2012: 5-8 - [c32]Daphney-Stavroula Zois, Marco Levorato, Urbashi Mitra:
A POMDP framework for heterogeneous sensor selection in wireless body area networks. INFOCOM 2012: 2611-2615 - [i5]Federico Librino, Marco Levorato, Michele Zorzi:
An Algorithmic Solution for Computing Circle Intersection Areas and its Applications to Wireless Communications. CoRR abs/1204.3569 (2012) - [i4]Andrea Munari, Marco Levorato, Michele Zorzi:
Cooperation in Carrier Sense Based Wireless Ad Hoc Networks - Part I: Reactive Schemes. CoRR abs/1206.0103 (2012) - [i3]Andrea Munari, Marco Levorato, Michele Zorzi:
Cooperation in Carrier Sense Based Wireless Ad Hoc Networks - Part II: Proactive Schemes. CoRR abs/1206.0107 (2012) - 2011
- [j11]Marco Levorato, Federico Librino, Michele Zorzi:
Integrated Cooperative Opportunistic Packet Forwarding and Distributed Error Control in MIMO Ad Hoc Networks. IEEE Trans. Commun. 59(8): 2215-2227 (2011) - [j10]Jalil Seifali Harsini, Farshad Lahouti, Marco Levorato, Michele Zorzi:
Analysis of Non-Cooperative and Cooperative Type II Hybrid ARQ Protocols with AMC over Correlated Fading Channels. IEEE Trans. Wirel. Commun. 10(3): 877-889 (2011) - [c31]Nicolò Michelusi, Petar Popovski, Marco Levorato, Osvaldo Simeone, Michele Zorzi:
Cognitive transmissions under a primary ARQ process via backward interference cancellation. Allerton 2011: 727-735 - [c30]Marco Levorato, Sina Firouzabadi, Andrea Goldsmith:
A reinforcement learning optimization framework for cognitive interference networks. Allerton 2011: 1633-1640 - [c29]Marco Levorato, Sina Firouzabadi, Andrea Goldsmith:
Cognitive Interference Networks with Partial and Noisy Observations: A Learning Framework. GLOBECOM 2011: 1-6 - [c28]Marco Levorato, Daniel O'Neill, Andrea Goldsmith, Urbashi Mitra:
Optimization of ARQ Protocols in Interference Networks with QoS Constraints. ICC 2011: 1-6 - [c27]Nicolò Michelusi, Osvaldo Simeone, Marco Levorato, Petar Popovski, Michele Zorzi:
Optimal cognitive transmission exploiting redundancy in the primary ARQ process. ITA 2011: 514-523 - [c26]Marco Levorato, Urbashi Mitra:
Optimal allocation of heterogeneous smart grid traffic to heterogeneous networks. SmartGridComm 2011: 132-137 - 2010
- [j9]Leonardo Badia, Nicola Baldo, Marco Levorato, Michele Zorzi:
A Markov framework for error control techniques based on selective retransmission in video transmission over wireless channels. IEEE J. Sel. Areas Commun. 28(3): 488-500 (2010) - [j8]Leonardo Badia, Marco Levorato, Federico Librino, Michele Zorzi:
Cooperation techniques for wireless systems from a networking perspective. IEEE Wirel. Commun. 17(2): 89-96 (2010) - [c25]Sina Firouzabadi, Marco Levorato, Daniel O'Neill, Andrea J. Goldsmith:
Learning Interference Strategies in Cognitive ARQ Networks. GLOBECOM 2010: 1-6 - [c24]Jalil Seifali Harsini, Farshad Lahouti, Marco Levorato, Michele Zorzi:
A Type II Hybrid ARQ Protocol with Adaptive Modulation and Coding for Time-Correlated Fading Channels: Analysis and Design. ICC 2010: 1-6 - [c23]Marco Levorato, Leonardo Badia, Urbashi Mitra, Michele Zorzi:
An analysis of cognitive networks for unslotted time and reactive users. MASS 2010: 252-261 - [i2]Marco Levorato, Urbashi Mitra, Michele Zorzi:
Cognitive Interference Management in Retransmission-Based Wireless Networks. CoRR abs/1004.0542 (2010) - [i1]Marco Levorato, Daniel O'Neill, Andrea J. Goldsmith, Urbashi Mitra:
Optimization of ARQ Protocols in Interference Networks with QoS Constraints. CoRR abs/1009.3961 (2010)
2000 – 2009
- 2009
- [j7]Leonardo Badia, Marco Levorato, Michele Zorzi:
A channel representation method for the study of hybrid retransmission-based error control. IEEE Trans. Commun. 57(7): 1959-1971 (2009) - [j6]Stefano Tomasin, Marco Levorato, Michele Zorzi:
Steady state analysis of coded cooperative networks with HARQ protocol. IEEE Trans. Commun. 57(8): 2391-2401 (2009) - [j5]Marco Levorato, Michele Zorzi:
On the performance of ad hoc networks with multiuser detection, rate control and hybrid ARQ. IEEE Trans. Wirel. Commun. 8(6): 2938-2949 (2009) - [c22]Leonardo Badia, Paolo Casari, Marco Levorato, Michele Zorzi:
Analysis of an Automatic Repeat Request Scheme Addressing Long Delay Channels. AINA Workshops 2009: 1142-1147 - [c21]Marco Levorato, Urbashi Mitra, Michele Zorzi:
Cognitive interference management in retransmission-based wireless networks. Allerton 2009: 94-101 - [c20]Leonardo Badia, Marco Levorato, Michele Zorzi:
Analysis of Selective Retransmission Techniques for Differentially Encoded Data. ICC 2009: 1-6 - [c19]Marco Levorato, Urbashi Mitra, Michele Zorzi:
On Optimal Control of Wireless Networks with Multiuser Detection, Hybrid ARQ and Distortion Constraints. INFOCOM 2009: 1926-1934 - [c18]Marco Levorato, Osvaldo Simeone, Urbashi Mitra:
Interference management via rate splitting and HARQ over time-varying fading channels. CoRoNet@MobiCom 2009: 25-30 - [c17]Marco Levorato, Andrea Munari, Michele Zorzi:
On the Effectiveness of Cooperation in Carrier Sense-Based Ad Hoc Networks. SECON 2009: 1-9 - [c16]Federico Librino, Marco Levorato, Michele Zorzi:
An algorithmic solution for computing circle intersection areas and its applications to wireless communications. WiOpt 2009: 1-10 - 2008
- [j4]Leonardo Badia, Marco Levorato, Michele Zorzi:
Markov analysis of selective repeat type II hybrid ARQ using block codes. IEEE Trans. Commun. 56(9): 1434-1441 (2008) - [j3]Marco Levorato, Stefano Tomasin, Michele Zorzi:
Cooperative spatial multiplexing for ad hoc networks with hybrid ARQ: system design and performance analysis. IEEE Trans. Commun. 56(9): 1545-1555 (2008) - [j2]Paolo Casari, Marco Levorato, Michele Zorzi:
MAC/PHY CrossLayer Design of MIMO Ad Hoc Networks with Layered Multiuser Detection. IEEE Trans. Wirel. Commun. 7(11-2): 4596-4607 (2008) - [c15]Marco Levorato, Michele Zorzi:
On error control schemes for ad hoc networks with multiuser detection and rate control. CISS 2008: 665-670 - [c14]Michele Zorzi, Marco Levorato, Federico Librino:
Cooperation in UMTS cellular networks: A practical perspective. PIMRC 2008: 1-6 - [c13]Marco Levorato, Leonardo Badia, Michele Zorzi:
Efficient quantization for feedback controlled networks with type II hybrid ARQ. WiOpt 2008: 58-63 - 2007
- [j1]Marco Levorato, Stefano Tomasin, Paolo Casari, Michele Zorzi:
Physical layer approximations for cross-layer performance analysis in MIMO-BLAST ad hoc networks. IEEE Trans. Wirel. Commun. 6(12): 4390-4400 (2007) - [c12]Federico Librino, Marco Levorato, Michele Zorzi:
Distributed Cooperative Routing and Hybrid ARQ in MIMO-BLAST Ad Hoc Networks. GLOBECOM 2007: 657-662 - [c11]Marco Levorato, Stefano Tomasin, Michele Zorzi:
Coded Cooperation for Ad Hoc Networks with Spatial Multiplexing. ICC 2007: 4746-4751 - [c10]Stefano Tomasin, Marco Levorato, Michele Zorzi:
Analysis of Outage Probability for Cooperative Networks with HARQ. ISIT 2007: 2716-2720 - [c9]Marco Levorato, Stefano Tomasin, Michele Zorzi:
Strategies and Tradeoffs for Coded Cooperation in Wireless Networks. WiOpt 2007: 1-10 - 2006
- [c8]Leonardo Badia, Marco Levorato, Michele Zorzi:
Analytical Investigation with Markov Models of Selective Repeat Type II Hybrid ARQ. GLOBECOM 2006 - [c7]Marco Levorato, Paolo Casari, Michele Zorzi:
On the Performance of Access Strategies for MIMO Ad Hoc Networks. GLOBECOM 2006 - [c6]Marco Levorato, Stefano Tomasin, Paolo Casari, Michele Zorzi:
An Approximate Approach for Layered Space-Time Multiuser Detection Performance and its Application to MIMO Ad Hoc Networks. ICC 2006: 3711-3716 - [c5]Paolo Casari, Marco Levorato, Michele Zorzi:
DSMA: an access method for MIMO ad hoc networks based on distributed scheduling. IWCMC 2006: 443-448 - [c4]Marco Levorato, Stefano Tomasin, Michele Zorzi:
Analysis of Cooperative Spatial Multiplexing for Ad Hoc Networks with Adaptive Hybrid ARQ. VTC Fall 2006: 1-5 - [c3]Marco Levorato, Stefano Tomasin, Paolo Casari, Michele Zorzi:
Analysis of Spatial Multiplexing for Cross-Layer Design of MIMO Ad Hoc Networks. VTC Spring 2006: 1146-1150 - 2005
- [c2]Paolo Casari, Marco Levorato, Michele Zorzi:
On the implications of layered space-time multiuser detection on the design of MAC protocols for ad hoc networks. PIMRC 2005: 1354-1360 - [c1]Michele Rossi, Paolo Casari, Marco Levorato, Michele Zorzi:
Multicast streaming over 3G cellular networks through multi-channel transmissions: proposals and performance evaluation. WCNC 2005: 1761-1766
Coauthor Index
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