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Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks

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By Miriam M Verified, Yohannis Kifle
| arxiv.org
[Submitted on 7 Feb 2025] Title:Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks View a PDF of the paper titled Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks, by Yohannis Kifle Telila and 5 other authors View PDF HTML (experimental) Abstract:Anomaly detection is crucial in the energy sector to identify irregular patterns indicating equipment...
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