Distributed Anomaly Detection in Smart Grids: A Federated Learning-Based Approach
Published in IEEE Access, 2023
Recommended citation: J Jithish, Bithin Alangot, Nagarajan Mahalingam, Kiat Seng Yeo. (2023). "Distributed Anomaly Detection in Smart Grids: A Federated Learning-Based Approach." IEEE Access, 11, pp.7157-7179. https://ieeexplore.ieee.org/abstract/document/10018378/
This paper discusses the integration of Information and Communication Technologies (ICT) in smart grids for anomaly detection using Machine Learning (ML) techniques, focusing on privacy-preserving federated learning approaches.
Recommended citation: J Jithish, Bithin Alangot, Nagarajan Mahalingam, Kiat Seng Yeo. (2023). “Distributed Anomaly Detection in Smart Grids: A Federated Learning-Based Approach.” IEEE Access, 11, pp.7157-7179.