An empirical study of FGSM and PGD attacks on federated anomaly detection for smart meter data finds PGD more effective than FGSM, while the stated conclusion that FL is more vulnerable than centralized learning is contradicted by the paper's own results.
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Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks
An empirical study of FGSM and PGD attacks on federated anomaly detection for smart meter data finds PGD more effective than FGSM, while the stated conclusion that FL is more vulnerable than centralized learning is contradicted by the paper's own results.