654 citations · 1.5k across the 37 of their papers we have counts for
4 papers · 1 filter
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks
Yoo Jeong Ha, Soyi Jung, Jae-Hyun Kim +2
Autonomous surveillance unmanned aerial vehicles (UAVs) are deployed to observe the streets of the city for any suspicious activities. This paper utilizes surveillance UAVs for the…
Supervised Compression for Resource-Constrained Edge Computing Systems
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato +1
There has been much interest in deploying deep learning algorithms on low-powered devices, including smartphones, drones, and medical sensors. However, full-scale deep neural netwo…
Split Computing for Complex Object Detectors: Challenges and Preliminary Results
Yoshitomo Matsubara, Marco Levorato
Following the trends of mobile and edge computing for DNN models, an intermediate option, split computing, has been attracting attentions from the research community. Previous stud…
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks
Yoshitomo Matsubara, Marco Levorato
The edge computing paradigm places compute-capable devices - edge servers - at the network edge to assist mobile devices in executing data analysis tasks. Intuitively, offloading c…