APA (7th ed.) Citation

Zhao, S., Fu, X., Liu, L., Li, J., Peng, W., & Ding, J. (2025). RHFL: A robust method to defend against poisoning attacks for heterogeneous hierarchical federated learning. Journal of Supercomputing, 81(10), 1. https://doi.org/10.1007/s11227-025-07616-w

Chicago Style (17th ed.) Citation

Zhao, Shihai, Xiaodong Fu, Li Liu, Jie Li, Wei Peng, and Jiaman Ding. "RHFL: A Robust Method to Defend Against Poisoning Attacks for Heterogeneous Hierarchical Federated Learning." Journal of Supercomputing 81, no. 10 (2025): 1. https://doi.org/10.1007/s11227-025-07616-w.

MLA (9th ed.) Citation

Zhao, Shihai, et al. "RHFL: A Robust Method to Defend Against Poisoning Attacks for Heterogeneous Hierarchical Federated Learning." Journal of Supercomputing, vol. 81, no. 10, 2025, p. 1, https://doi.org/10.1007/s11227-025-07616-w.