Federal learning edge network based sentiment analysis combating global COVID-19-Reference-Cited by-同舟云学术

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Federal learning edge network based sentiment analysis combating global COVID-19

Published:2023-04 Issue: Volume:204 Page:33-42
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Liang Wei,Chen Xiaohong,Huang Suzhen,Xiong Guanghao,Yan Ke^ORCID,Zhou Xiaokang

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference47 articles.

1. Naming the coronavirus disease (COVID-19) and the virus that causes it;World Health Organization;Braz. J. Implantol. Health Sci.,2020

2. Statement on the Second Meeting of the International Health Regulations (2005) Emergency Committee Regarding the Outbreak of Novel Coronavirus (2019-NCoV);WHO G,2020

3. Coronavirus Disease 2019 (COVID-19): Situation Report, Vol. 73;World Health Organization,2020

4. Layer-based communication-efficient federated learning with privacy preservation;Lian;IEICE Trans. Inf. Syst.,2022

5. New enhanced authentication protocol for Internet of Things;Azrour;Big Data Min. Anal.,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic Client Scheduling Enhanced Federated Learning for UAVs;IEEE Wireless Communications Letters;2024-07

2. BI-FedGNN: Federated graph neural networks framework based on Bayesian inference;Neural Networks;2024-01

3. A Review of Sentimental Analysis for Vaccine Dataset Using BI-LSTM Method;2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG);2023-12-08

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