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Marco Levorato

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SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing

Oct 12, 2023
Niloofar Bahadori, Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia

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Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems

Jun 22, 2023
Juliano S. Assine, J. C. S. Santos Filho, Eduardo Valle, Marco Levorato

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Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings

Apr 28, 2023
Ali Tazarv, Sina Labbaf, Amir Rahmani, Nikil Dutt, Marco Levorato

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Matching DNN Compression and Cooperative Training with Resources and Data Availability

Dec 02, 2022
Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla Fabiana Chiasserini

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SC2: Supervised Compression for Split Computing

Mar 16, 2022
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt

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SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection

Jan 11, 2022
Davide Callegaro, Francesco Restuccia, Marco Levorato

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BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing

Jan 07, 2022
Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia

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Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks

Dec 07, 2021
Peyman Tehrani, Francesco Restuccia, Marco Levorato

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Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks

Nov 15, 2021
Yoo Jeong Ha, Soyi Jung, Jae-Hyun Kim, Marco Levorato, Joongheon Kim

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Supervised Compression for Resource-constrained Edge Computing Systems

Aug 21, 2021
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt

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