Federated Compressed Learning Edge Computing Framework with Ensuring Data Privacy for PM2.5 Prediction in Smart City Sensing Applications

The sparse data in PM2.5 air quality monitoring systems is frequently happened on large-scale smart city sensing applications, which is collected via massive sensors. Moreover, it could be affected by inefficient node deployment, insufficient communication, and fragmented records, which is the main...

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Detalles Bibliográficos
Autores principales: Putra, Karisma Trinanda, Chen, Hsing-Chung, Prayitno, Ogiela, Marek R., Chou, Chao-Lung, Weng, Chien-Erh, Shae, Zon-Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271576/
https://www.ncbi.nlm.nih.gov/pubmed/34283140
http://dx.doi.org/10.3390/s21134586

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271576/
https://www.ncbi.nlm.nih.gov/pubmed/34283140
http://dx.doi.org/10.3390/s21134586

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