A Joint Energy and Latency Framework for Transfer Learning Over 5G Industrial Edge Networks
IEEE Transactions on Industrial Informatics(2022)
摘要
In this article, we propose a transfer learning (TL) enabled edge convolutional neural network (CNN) framework for 5G industrial edge networks with privacy-preserving characteristic. In particular, the edge server can use the existing image dataset to train the CNN in advance, which is further fine-tuned based on the limited datasets uploaded from the devices. With the aid of TL, the devices that ...
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关键词
Training,Image edge detection,Industrial Internet of Things,Wireless communication,Servers,Performance evaluation,Data models
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