A Lightweight Neural Network Model for Disease Risk Prediction in Edge Intelligent Computing Architecture

A Lightweight Neural Network Model for Disease Risk Prediction in Edge Intelligent Computing Architecture

In the current field of disease risk prediction research, there are many methods of using servers for centralized computing to train and infer prediction models. However, this centralized computing method increases storage space, the load on network bandwidth, and the computing pressure on the centr...

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Bibliographic Details
Main Authors: Feng Zhou, Shijing Hu, Xin Du, Xiaoli Wan, Jie Wu
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Future Internet
Subjects:
federated learning
edge computing
deep learning
image classification
disease risk prediction
Online Access:https://www.mdpi.com/1999-5903/16/3/75

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https://www.mdpi.com/1999-5903/16/3/75

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