Cooperative Inference with Interleaved Operator Partitioning for CNNs

Deploying deep learning models on Internet of Things (IoT) devices often faces challenges due to limited memory resources and computing capabilities. Cooperative inference is an important method for addressing this issue, requiring the partitioning and distributive deployment of an intelligent model...

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Veröffentlicht in:	arXiv.org 2024-09
Hauptverfasser:	Liu, Zhibang, Xu, Chaonong, Liu, Zhizhuo, Huang, Lekai, Wei, Jiachen, Li, Chao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Feature maps Image classification Inference Internet of Things Machine learning Memory devices Operators Partitioning
Online-Zugang:	Volltext
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