Work

Unsupervised Anomalous Sound Detection Using Loss-Weighted Clustered Federated Pre-Training

Year: 2024

Type: conference-paper

Source: IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

DOI: 10.1109/mlsp58920.2024.10734732

Authors: Rene Glitza, Luca Becker, Rainer Martin

Institution: Ruhr University Bochum

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Deutsche Forschungsgemeinschaft

Award: Signalerfassungs und Rechnersystem für interaktive Anwendungen in der Kommunikationsakustik

OpenAlex ID: W4404037140

FWCI:

Cites: 17

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Related to: 10