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

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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Bibliographic Details
Main Authors: Habib Ullah Manzoor, Ahsan Raza Khan, David Flynn, Muhammad Mahtab Alam, Muhammad Akram, Muhammad Ali Imran, Ahmed Zoha
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
federated learning
artificial neural network
clustering
machine learning
Online Access:https://www.mdpi.com/1424-8220/23/7/3570

Internet

https://www.mdpi.com/1424-8220/23/7/3570

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