FedDiverse: Tackling Data Heterogeneity in Federated Learning with Diversity-Driven Client Selection
Németh, G. D., Fanì, E., Ng, Y. J., Caputo, B., Lozano, M. Á., Oliver, N., & Quadrianto, N. (2025, October). FedDiverse: Tackling Data Heterogeneity in Federated Learning with Diversity-Driven Client Selection. In 2025 3rd International Conference on Federated Learning Technologies and Applications (FLTA) (pp. 432-440). IEEE.
