Datasets › FedTADBench

FedTADBench

Introduced by Fanxing Liu et al. in FedTADBench: Federated Time-Series Anomaly Detection Benchmark19 Dec 2022 archive 2025-07-28

FedTADBench is a federated time series anomaly detection benchmark. It covers 5 time series anomaly detection algorithms, 4 federated learning frameworks, and 3 time series anomaly detection datasets.

Source: [FedTADBench: Federated Time-Series Anomaly Detection Benchmark (https://arxiv.org/pdf/2212.09518v1.pdf)

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • FedTADBench

1 variant name, as the archive lists them.

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