Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning

This paper proposes Shoggoth, an efficient edge-cloud collaborative architecture, for boosting inference performance on real-time video of changing scenes. Shoggoth uses online knowledge distillation to improve the accuracy of models suffering from data drift and offloads the labeling process to the...

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Bibliographic Details

Published in:	2023 60th ACM/IEEE Design Automation Conference (DAC) pp. 1 - 6
Main Authors:	Wang, Liang, Lu, Kai, Zhang, Nan, Qu, Xiaoyang, Wang, Jianzong, Wan, Jiguang, Li, Guokuan, Xiao, Jing
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.07.2023
Subjects:	Adaptation models Bandwidth Collaboration Computational modeling Computer architecture Streaming media Training
Online Access:	Get full text
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