APA (7th ed.) Citation

Salazar, T., Araujo, H., Cano, A., & Abreu, P. H. (2026). A survey on group fairness in federated learning: Challenges, taxonomy of solutions and directions for future research. Artificial Intelligence Review, 59(2), 1. https://doi.org/10.1007/s10462-025-11475-5

Chicago Style (17th ed.) Citation

Salazar, Teresa, Helder Araujo, Alberto Cano, and Pedro Henriques Abreu. "A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research." Artificial Intelligence Review 59, no. 2 (2026): 1. https://doi.org/10.1007/s10462-025-11475-5.

MLA (9th ed.) Citation

Salazar, Teresa, et al. "A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research." Artificial Intelligence Review, vol. 59, no. 2, 2026, p. 1, https://doi.org/10.1007/s10462-025-11475-5.