ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems

Edge devices have been widely adopted to bring deep learning applications onto low power embedded systems, mitigating the privacy and latency issues of accessing cloud servers. The increasingly computational demand of complex neural network models leads to large latency on edge devices with limited...

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Bibliographic Details

Published in:	2021 58th ACM/IEEE Design Automation Conference (DAC) pp. 151 - 156
Main Authors:	Huai, Shuo, Zhang, Lei, Liu, Di, Liu, Weichen, Subramaniam, Ravi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.12.2021
Subjects:	Design automation Embedded systems Heuristic algorithms Pipelines Predictive models Privacy Training
Online Access:	Get full text
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