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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |