Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction

Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction

Abstract Federated Learning is transforming electrical load forecasting by enabling Artificial Intelligence (AI) models to be trained directly on household edge devices. However, the prediction accuracy of federated learning models tends to diminish when dealing with non-IID data highlighting the ne...

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Bibliographic Details
Main Authors: Liana Toderean, Mihai Daian, Tudor Cioara, Ionut Anghel, Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Federated learning
Energy prediction
Hyperparameters optimization
Simulated Annealing-based federated aggregation
Genetic algorithm
Online Access:https://doi.org/10.1038/s41598-025-96443-3
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