Qing Mu

FedTADBench: Federated Time-Series Anomaly Detection Benchmark

2022 · arXiv (Cornell University)

Time series anomaly detection strives to uncover potential abnormal behaviors and patterns from temporal data, and has fundamental significance in diverse application scenarios. Constructing an effective detection model usually requires adequate training data stored in …