Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
Date:
Paper: Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
Authors: Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chia-Yu Liu, Kin K. Leung
Conference: IEEE Annual Congress on Artificial Intelligence of Things (AIoT 2025)
Location: Osaka, Japan, Osaka, Japan
Map coordinates: 34.6937, 135.5023
Coordinate precision: city
Presented a federated quantum-kernel learning method for anomaly detection in multivariate IoT time-series, emphasizing distributed data settings and privacy-aware model construction.
Note: City-level coordinate is used because the precise venue was not specified in the available public conference information.