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eess.SP2021★ 298 cited
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia
Mobile devices such as smartphones and autonomous vehicles increasingly rely on deep neural networks (DNNs) to execute complex inference tasks such as image classification and spee…
eess.SP2019
Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control
Delaram Amiri, Arman Anzanpour, Iman Azimi +4
Recent advances in the Internet of Things (IoT) technologies have enabled the use of wearables for remote patient monitoring. Wearable sensors capture the patient's vital signs, an…