APA (7th ed.) Citation

Mbonu, W. E., Maple, C., Epiphaniou, G., & Panchev, C. (2025). A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework. Big Data & Cognitive Computing, 9(4), 85. https://doi.org/10.3390/bdcc9040085

Chicago Style (17th ed.) Citation

Mbonu, Washington Enyinna, Carsten Maple, Gregory Epiphaniou, and Christo Panchev. "A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework." Big Data & Cognitive Computing 9, no. 4 (2025): 85. https://doi.org/10.3390/bdcc9040085.

MLA (9th ed.) Citation

Mbonu, Washington Enyinna, et al. "A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework." Big Data & Cognitive Computing, vol. 9, no. 4, 2025, p. 85, https://doi.org/10.3390/bdcc9040085.