Performance analysis of local exit for distributed deep neural networks over cloud and edge computing

Performance analysis of local exit for distributed deep neural networks over cloud and edge computing

In edge computing, most procedures, including data collection, data processing, and service provision, are handled at edge nodes and not in the central cloud. This decreases the processing burden on the central cloud, enabling fast responses to end‐device service requests in addition to reducing ban...

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Bibliographic Details
Main Authors: Changsik Lee, Seungwoo Hong, Sungback Hong, Taeyeon Kim
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2020-10-01
Series:ETRI Journal
Subjects:
convolutional neural networks
deep neural networks
edge computing
inference performance
multi‐exit
single‐exit
Online Access:https://doi.org/10.4218/etrij.2020-0112

Internet

https://doi.org/10.4218/etrij.2020-0112

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