[HTML][HTML] Modified Masking-Based Federated Singular Value Decomposition Method for Fast Anomaly Detection in Smart Grid Systems
Z Yiming, X Fang, O Hordiichuk-Bublivska, H Beshley… - Energies, 2023 - mdpi.com
The digitalization of production in smart grids entails challenges related to data collection,
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …
Modified Masking-Based Federated Singular Value Decomposition Method for Fast Anomaly Detection in Smart Grid Systems.
Z Yiming, X Fang, O Hordiichuk-Bublivska, H Beshley… - Energies, 2023 - go.gale.com
The digitalization of production in smart grids entails challenges related to data collection,
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …
Modified Masking-Based Federated Singular Value Decomposition Method for Fast Anomaly Detection in Smart Grid Systems
Z Yiming, X Fang, O Hordiichuk-Bublivska… - Energies, 2023 - econpapers.repec.org
The digitalization of production in smart grids entails challenges related to data collection,
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …
Modified Masking-Based Federated Singular Value Decomposition Method for Fast Anomaly Detection in Smart Grid Systems.
Z Yiming, X Fang, O Hordiichuk-Bublivska… - Energies …, 2023 - search.ebscohost.com
The digitalization of production in smart grids entails challenges related to data collection,
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …
Modified Masking-Based Federated Singular Value Decomposition Method for Fast Anomaly Detection in Smart Grid Systems
Z Yiming, X Fang, O Hordiichuk-Bublivska, H Beshley… - Energies, 2023 - ideas.repec.org
The digitalization of production in smart grids entails challenges related to data collection,
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …