APA (7th ed.) Citation

Atia, A. G., Karawia, A. A., Fouda, Y. M., El-Gayar, M. M., & Wang, Z. (2026). Privacy‐Preserving Federated Learning: Adaptive Quantization and Layer‐Specific Differential Privacy With Client Dropout Mitigation. Applied Computational Intelligence & Soft Computing, 2026, 1. https://doi.org/10.1155/acis/1125376

Chicago Style (17th ed.) Citation

Atia, Ahmad G., Abdelrahman A. Karawia, Yasser M. Fouda, Mostafa M. El-Gayar, and Zhaocai Wang. "Privacy‐Preserving Federated Learning: Adaptive Quantization and Layer‐Specific Differential Privacy With Client Dropout Mitigation." Applied Computational Intelligence & Soft Computing 2026 (2026): 1. https://doi.org/10.1155/acis/1125376.

MLA (9th ed.) Citation

Atia, Ahmad G., et al. "Privacy‐Preserving Federated Learning: Adaptive Quantization and Layer‐Specific Differential Privacy With Client Dropout Mitigation." Applied Computational Intelligence & Soft Computing, vol. 2026, 2026, p. 1, https://doi.org/10.1155/acis/1125376.