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Mar, 2021
分裂计算和提前退出在深度学习应用中的应用:调研和研究挑战
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
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Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia
TL;DR
介绍了在移动设备中使用深度神经网络技术的优劣,提出了通过分割计算和提前结束计算的方法,将深度神经网络分别部署在移动设备和云/边缘服务器上,最终可减少带宽和能耗,同时提高精度并根据当前需求调节精度与延迟之间的平衡。
Abstract
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 speech recognition, among others. Ho
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