Crossing roads of federated learning and smart grids: Overview, challenges, and perspectives
Consumer's privacy is a main concern in Smart Grids (SGs) due to the sensitivity of energy
data, particularly when used to train machine learning models for different services. These …
data, particularly when used to train machine learning models for different services. These …
[HTML][HTML] Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation
Energy consumption data are crucial for various smart energy management applications,
such as demand forecasting, customer segmentation, and energy efficiency analysis …
such as demand forecasting, customer segmentation, and energy efficiency analysis …