Cargando…
Federated Learning in Edge Computing: A Systematic Survey
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services closer to data sources. EC combined with Deep Learning (DL) is a promising technology and is widely used in several applications. However, in conventional DL architectures with EC enabled, data producers must freque...
Autores principales: | Abreha, Haftay Gebreslasie, Hayajneh, Mohammad, Serhani, Mohamed Adel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780479/ https://www.ncbi.nlm.nih.gov/pubmed/35062410 http://dx.doi.org/10.3390/s22020450 |
Ejemplares similares
-
Blockchain-Enabled Asynchronous Federated Learning in Edge Computing
por: Liu, Yinghui, et al.
Publicado: (2021) -
Empowering Patient Similarity Networks through Innovative Data-Quality-Aware Federated Profiling
por: Navaz, Alramzana Nujum, et al.
Publicado: (2023) -
Vaccine versus Variants (3Vs): Are the COVID-19 Vaccines Effective against the Variants? A Systematic Review
por: Hayawi, Kadhim, et al.
Publicado: (2021) -
FLPP: A Federated-Learning-Based Scheme for Privacy Protection in Mobile Edge Computing
por: Cheng, Zhimo, et al.
Publicado: (2023) -
Federated learning in cloud-edge collaborative architecture: key technologies, applications and challenges
por: Bao, Guanming, et al.
Publicado: (2022)