Cite Article
Cite Article
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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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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