PrivTSAD-FedWGAN: A novel federated learning and WGAN framework for privacy-preserving multivariate time series anomaly detection

Expert Systems with Applications 2026

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Authors: Haoyu Jiang, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Shangyi Du, Peng Lu

DOI: 10.1016/j.eswa.2025.131049

Cited by: 2

References: 26

Fields of Study & Subjects

Anomaly Detection Techniques and Applications Privacy-Preserving Technologies in Data Adversarial Robustness in Machine Learning

References 26