Evaluating the Use of Blockchain-Enabled Federated Learning for Smart Manufacturing: A Bibliometric Review
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-71637-9_19
Reference20 articles.
1. Abbas, K., Tawalbeh, L.A., Rafiq, A., Muthanna, A., Elgendy, I.A., Abd El-Latif, A.A.: Convergence of blockchain and Iot for secure transportation systems in smart cities. Secur. Commun. Netw. 2021, 1–13 (2021)
2. Aloqaily, M., Al Ridhawi, I., Kanhere, S.: Reinforcing industry 4.0 with digital twins and blockchain-assisted federated learning. IEEE J. Selected Areas Commun. (2023)
3. Arachchige, P.C.M., Bertok, P., Khalil, I., Liu, D., Camtepe, S., Atiquzzaman, M.: A trustworthy privacy preserving framework for machine learning in industrial Iot systems. IEEE Trans. Industr. Inf. 16(9), 6092–6102 (2020)
4. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., Lim, W.M.: How to conduct a bibliometric analysis: an overview and guidelines. J. Bus. Res. 133, 285–296 (2021)
5. Goyal, S., Chauhan, S., Mishra, P.: Circular economy research: a bibliometric analysis (2000–2019) and future research insights. J. Clean. Prod. 287, 125011 (2021)
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