Privacy-preserving anomaly detection in cloud manufacturing via federated transformer

• Main Authors: Ma, Shiyao, Nie, Jiangtian, Kang, Jiawen, Lyu, Lingjuan, Liu, Ryan Wen, Zhao, Ruihui, Liu, Ziyao, Niyato, Dusit
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Anomaly Detection; Cloud Manufacturing
• Online Access: https://hdl.handle.net/10356/162980
• Institution: Nanyang Technological University

With the rapid development of cloud manufacturing, industrial production with edge computing as the core architecture has been greatly developed. However, edge devices often suffer from abnormalities and failures in industrial production. Therefore, detecting these abnormal situations timely and acc...