"FedTADBench: Federated Time-series Anomaly Detection Benchmark."

Fanxing Liu et al. (2022)

> Home

Details and statistics

DOI: 10.1109/HPCC-DSS-SMARTCITY-DEPENDSYS57074.2022.00071

access: closed

type: Conference or Workshop Paper

metadata version: 2025-09-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/hpcc/LiuZZZMZZZ22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/hpcc/LiuZZZMZZZ22
Fanxing Liu, Cheng Zeng, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang, Ce Zhu:
FedTADBench: Federated Time-series Anomaly Detection Benchmark. HPCC/DSS/SmartCity/DependSys 2022: 303-310

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.