Model pruning techniques in the Internet of things: state of the art, methods and perspectives

Model pruning techniques in the Internet of things: state of the art, methods and perspectives

In the context of the rapid development of Internet of things (IoT) technology, IoT devices faced challenges in running complex artificial intelligence (AI) algorithms, especially deep learning models, due to the limitations of computing power, storage space, communication bandwidth, and battery lif...

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Bibliographic Details
Main Authors: ZHAO Junhui, LI Huaicheng, WANG Dongming, LI Jiamin, ZHOU Yiqing, SHU Feng
Format: Article
Language:zho
Published: China InfoCom Media Group 2024-12-01
Series:物联网学报
Subjects:
IoT
resource constraints
model pruning
AI
deep learning
Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00448/
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