APA (7th ed.) Citation

Hassan, A., Mushtaq, S. U., Edrees, H., & Alquatesh, A. (2026). A Privacy-Preserving Federated Learning Framework with Fully Homomorphic Encryption for Reproductive Health Analytics. Journal of Cyber Security & Risk Auditing, 2026(2), 265. https://doi.org/10.63180/jcsra.thestap.2026.2.7

Chicago Style (17th ed.) Citation

Hassan, Abass, Sheikh Umar Mushtaq, Hussein Edrees, and Amier Alquatesh. "A Privacy-Preserving Federated Learning Framework with Fully Homomorphic Encryption for Reproductive Health Analytics." Journal of Cyber Security & Risk Auditing 2026, no. 2 (2026): 265. https://doi.org/10.63180/jcsra.thestap.2026.2.7.

MLA (9th ed.) Citation

Hassan, Abass, et al. "A Privacy-Preserving Federated Learning Framework with Fully Homomorphic Encryption for Reproductive Health Analytics." Journal of Cyber Security & Risk Auditing, vol. 2026, no. 2, 2026, p. 265, https://doi.org/10.63180/jcsra.thestap.2026.2.7.