A Federated Learning Approach for Efficient Anomaly Detection in Electric Power Steering Systems

Kea, Kimleang; Han, Youngsun; Min, Young-Jae

doi:10.1109/ACCESS.2024.3397000

Title: A Federated Learning Approach for Efficient Anomaly Detection in Electric Power Steering Systems

Journal Article · 01 January 2024 · IEEE Access

DOI: https://doi.org/10.1109/ACCESS.2024.3397000 · OSTI ID:2352351

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^[2]

Department of AI Convergence, Pukyong National University, Busan, South Korea
Department of Electric and Electronic Engineering, Halla University, Wonju, South Korea

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Sponsoring Organization:: USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research

OSTI ID:: 2352351

Journal Information:: IEEE Access, Journal Name: IEEE Access Vol. 12; ISSN 2169-3536

Publisher:: Institute of Electrical and Electronics EngineersCopyright Statement

Country of Publication:: United States

Language:: English

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