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MLA

Sharma, Akash, et al. "A Novel Deep Federated Learning-Based Model to Enhance Privacy in Critical Infrastructure Systems." IJSSCI vol.15, no.1 2023: pp.1-23. http://doi.org/10.4018/IJSSCI.334711

APA

Sharma, A., Singh, S. K., Chhabra, A., Kumar, S., Arya, V., & Moslehpour, M. (2023). A Novel Deep Federated Learning-Based Model to Enhance Privacy in Critical Infrastructure Systems. International Journal of Software Science and Computational Intelligence (IJSSCI), 15(1), 1-23. http://doi.org/10.4018/IJSSCI.334711

Chicago

Sharma, Akash, et al. "A Novel Deep Federated Learning-Based Model to Enhance Privacy in Critical Infrastructure Systems," International Journal of Software Science and Computational Intelligence (IJSSCI) 15, no.1: 1-23. http://doi.org/10.4018/IJSSCI.334711

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A Novel Deep Federated Learning-Based Model to Enhance Privacy in Critical Infrastructure Systems

International Journal of Software Science and Computational Intelligence (IJSSCI)

The latest developments in computer science, theoretical software engineering, cognitive science, cognitive informatics, intelligence science, and the crystallization of accumulated knowledge by the fertilization of these areas, have led to the emergence of a transdisciplinary and convergence field known as software and intelligence sciences International Journal of Software Science and Computational Intelligence (IJSSCI) is a transdisciplinary, archived, and rigorously refereed journal that publishes and disseminates cutting-edge research findings and technological developments in the emerging fields of software science and computational intelligence, as well as their engineering applications.


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