Smart City Gnosys

Smart city article details

Title	An Insight Into Federated Learning Based Digital Twin Applications In Smart City
ID_Doc	8395
Authors	Saranya M.; Amutha B.
Year	2023
Published	Proceedings of the 5th International Conference on Inventive Research in Computing Applications, ICIRCA 2023
DOI	http://dx.doi.org/10.1109/ICIRCA57980.2023.10220792
Abstract	The Internet of Things (IoT) and new developments in Artificial Intelligence (AI) have enhanced technologies based on smart cities, such as smart transportation, smart healthcare, and smart environmental management (IoT). Artificial intelligence (AI) was used to build virtual Digital Twins (DT), which are exact duplicates of real objects. DT uses in the manufacturing and industrial sectors have been successful, but smart city applications are still in their infancy. The primary reasons for this delay are a lack of confidence and privacy concerns around the transmission of sensitive data. DT may be used in combination with Federated Learning (FL) to ensure dependability and privacy preservation. In order to facilitate governance in smart city applications and their adoption in circumstances where time is of the essence and lives are on the line, the primary goal of this study is to merge these two cutting-edge technologies. The use of technology, businesses now create better products, identify and swiftly fix physical issues, and realize value and advantages more quickly than in the past. Give a complete examination of the various DTs for smart cities using FL model applications. The study's findings are utilized to pinpoint a few important problems and suggest solutions for enhancing FL-DT integration in applications. © 2023 IEEE.
Author Keywords	Artificial Intelligence; Data Privacy; Digital Twin; Federated Learning; Smart City

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