FedSW-TSAD: SWGAN-Based Federated Time Series Anomaly Detection

FedSW-TSAD: SWGAN-Based Federated Time Series Anomaly Detection

As distributed sensing technologies evolve, the collection of time series data is becoming increasingly decentralized, which introduces serious challenges for both model training and data privacy protection. In response to this trend, federated time series anomaly detection enables collaborative ana...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiuxian Zhang, Hongwei Zhao, Weishan Zhang, Shaohua Cao, Haoyun Sun, Baoyu Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
anomaly detection
privacy protection
federated learning
Online Access:https://www.mdpi.com/1424-8220/25/13/4014
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items