Common Model Federated Training-Inference Method for Accelerating Real-Virtual Synchronization of Digital Twins
Younghwan Jeong, Taemin Hwang, Won-gi Choi, Jinyoung Lee, Seolyoung Park, Sangshin Lee, Journal of Internet Computing and Services, Vol. 26, No. 3, pp. 83-97, Jun. 2025


Keywords: Digital Twin, Federated learning, similarity search, object tracking, system optimization
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Cite this article
[APA Style]
Jeong, Y., Hwang, T., Choi, W., Lee, J., Park, S., & Lee, S. (2025). Common Model Federated Training-Inference Method for Accelerating Real-Virtual Synchronization of Digital Twins. Journal of Internet Computing and Services, 26(3), 83-97. DOI: 10.7472/jksii.2025.26.3.83.
[IEEE Style]
Y. Jeong, T. Hwang, W. Choi, J. Lee, S. Park, S. Lee, "Common Model Federated Training-Inference Method for Accelerating Real-Virtual Synchronization of Digital Twins," Journal of Internet Computing and Services, vol. 26, no. 3, pp. 83-97, 2025. DOI: 10.7472/jksii.2025.26.3.83.
[ACM Style]
Younghwan Jeong, Taemin Hwang, Won-gi Choi, Jinyoung Lee, Seolyoung Park, and Sangshin Lee. 2025. Common Model Federated Training-Inference Method for Accelerating Real-Virtual Synchronization of Digital Twins. Journal of Internet Computing and Services, 26, 3, (2025), 83-97. DOI: 10.7472/jksii.2025.26.3.83.