Smart City Gnosys

Smart city article details

Title	A Federated Transfer Learning-Empowered Blockchain-Enabled Secure Knowledge Sharing Scheme For Unmanned Any Vehicles In Smart Cities
ID_Doc	1670
Authors	Islam A.; Karimipour H.
Year	2023
Published	2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023
DOI	http://dx.doi.org/10.1109/SSCI52147.2023.10372065
Abstract	Smart cities embrace unmanned autonomous vehicles (UxVs) for urban mobility and addressing challenges. UxVs include UAVs, UGVs, USVs, and UUVs, empowered by AI, particularly deep learning (DL), for autonomous missions. However, traditional DL has limitations in adapting to dynamic environments and raises data privacy concerns. Limited data availability and starting from scratch to adapt to a new environment during missions pose challenges. Additionally, cyber threats, particularly in terms of communication and data security, can jeopardize the missions performed by UxVs. This paper proposes a federated transfer learning scheme for UxVs, sharing prior knowledge and training with limited data while ensuring security through blockchain. Domain adaptation with maximum mean discrepancy enhances the DL model's performance in target domains. The proposed scheme's feasibility is demonstrated in an empirical environment, and it outperforms existing works. © 2023 IEEE.
Author Keywords	blockchain; domain adaptation; federated transfer learning; mist computing; unmanned any vehicles

Similar Articles

Id	Similarity	Authors	Title	Published
59307	0.891	Aqleem Abbas S.M.; Khattak M.A.K.; Boulila W.; Kouba A.; Shahbaz Khan M.; Ahmad J.	Uavs And Blockchain Synergy: Enabling Secure Reputation-Based Federated Learning In Smart Cities	IEEE Access, 12 (2024)
7884	0.87	Zhu C.; Zhu X.; Qin T.	An Efficient Privacy Protection Mechanism For Blockchain-Based Federated Learning System In Uav-Mec Networks	Sensors, 24, 5 (2024)
5652	0.863	Wang S.; Chen C.; Han B.; Zhu J.	A Trusted And Decentralized Federated Learning Framework For Iot Devices In Smart City	Proceedings - IEEE Congress on Cybermatics: 2024 IEEE International Conferences on Internet of Things, iThings 2024, IEEE Green Computing and Communications, GreenCom 2024, IEEE Cyber, Physical and Social Computing, CPSCom 2024, IEEE Smart Data, SmartData 2024 (2024)
3195	0.862	Hai T.; Wang D.; Seetharaman T.; Amelesh M.; Sreejith P.M.; Sharma V.; Ibeke E.; Liu H.	A Novel & Innovative Blockchain-Empowered Federated Learning Approach For Secure Data Sharing In Smart City Applications	Lecture Notes in Networks and Systems, 735 LNNS (2023)
2305	0.86	Islam S.; Badsha S.; Sengupta S.	A Light-Weight Blockchain Architecture For V2V Knowledge Sharing At Vehicular Edges	2020 IEEE International Smart Cities Conference, ISC2 2020 (2020)
35024	0.86	Jaleel U.; Lalmawipuii R.	Leveraging Ai And Blockchain In Manets To Enhance Smart City Infrastructure And Autonomous Vehicular Networks	Applications of Mathematics in Science and Technology: International Conference on Mathematical Applications in Science and Technology (2025)
8470	0.86	Devarajan G.G.; Thirunnavukkarasan M.; Amanullah S.I.; Vignesh T.; Sivaraman A.	An Integrated Security Approach For Vehicular Networks In Smart Cities	Transactions on Emerging Telecommunications Technologies, 34, 11 (2023)
47587	0.857	Das D.; Chaterjee P.; Ghosh U.; Blakely B.	Secure And Privacy Aware Data Sharing Approach For Smart Electric Vehicles	IEEE Consumer Electronics Magazine (2025)
17804	0.857	Subramaniyaswamy V.; Revathy G.; Ravi L.; Thillaiarasu N.; Kshetri N.	Deep Learning And Blockchain Technology For Smart And Sustainable Cities	Deep Learning and Blockchain Technology for Smart and Sustainable Cities (2025)
12606	0.856	Singh S.K.; Park L.; Park J.H.	Blockchain-Based Federated Approach For Privacy-Preserved Iot-Enabled Smart Vehicular Networks	International Conference on ICT Convergence, 2022-October (2022)