FedBranched: Leveraging Federated Learning for Anomaly-Aware Load Forecasting in Energy Networks

Increased demand for fast edge computation and privacy concerns have shifted researchers’ focus towards a type of distributed learning known as federated learning (FL). Recently, much research has been carried out on FL; however, a major challenge is the need to tackle the high diversity in differen...

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Detalles Bibliográficos
Autores principales: Manzoor, Habib Ullah, Khan, Ahsan Raza, Flynn, David, Alam, Muhammad Mahtab, Akram, Muhammad, Imran, Muhammad Ali, Zoha, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098660/
https://www.ncbi.nlm.nih.gov/pubmed/37050631
http://dx.doi.org/10.3390/s23073570

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098660/
https://www.ncbi.nlm.nih.gov/pubmed/37050631
http://dx.doi.org/10.3390/s23073570

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