Mbonu, W.E.; Maple, C.; Epiphaniou, G.; Panchev, C.
A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework. Big Data Cogn. Comput. 2025, 9, 85.
https://doi.org/10.3390/bdcc9040085
AMA Style
Mbonu WE, Maple C, Epiphaniou G, Panchev C.
A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework. Big Data and Cognitive Computing. 2025; 9(4):85.
https://doi.org/10.3390/bdcc9040085
Chicago/Turabian Style
Mbonu, Washington Enyinna, Carsten Maple, Gregory Epiphaniou, and Christo Panchev.
2025. "A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework" Big Data and Cognitive Computing 9, no. 4: 85.
https://doi.org/10.3390/bdcc9040085
APA Style
Mbonu, W. E., Maple, C., Epiphaniou, G., & Panchev, C.
(2025). A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework. Big Data and Cognitive Computing, 9(4), 85.
https://doi.org/10.3390/bdcc9040085