APA (7th ed.) Citation

Wang, J., Tian, W., Tang, J., Ye, X., Wan, Y., Xu, Z., & Chen, L. (2025). Sym-CS-HFL: A secure and efficient solution for privacy-preserving heterogeneous federated learning. Journal of Information Security & Applications, 94, N.PAG. https://doi.org/10.1016/j.jisa.2025.104253

Chicago Style (17th ed.) Citation

Wang, Jinzhao, Wenlong Tian, Junwei Tang, Xuming Ye, Yaping Wan, Zhiyong Xu, and Lingna Chen. "Sym-CS-HFL: A Secure and Efficient Solution for Privacy-preserving Heterogeneous Federated Learning." Journal of Information Security & Applications 94 (2025): N.PAG. https://doi.org/10.1016/j.jisa.2025.104253.

MLA (9th ed.) Citation

Wang, Jinzhao, et al. "Sym-CS-HFL: A Secure and Efficient Solution for Privacy-preserving Heterogeneous Federated Learning." Journal of Information Security & Applications, vol. 94, 2025, p. N.PAG, https://doi.org/10.1016/j.jisa.2025.104253.