Power- and Time-Aware Deep Learning Inference for Mobile Embedded Devices
Deep learning is a state-of-the-art approach that provides highly accurate inference for many cyber-physical systems (CPS) such as autonomous cars and robots. Deep learning inference often needs to be performed locally on mobile and embedded devices, rather than in the cloud, to address concerns suc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8579137/ |