APA (7th ed.) Citation

Li, B., Esfandiari, Y., Schmidt, M. N., Alstrøm, T. S., & Stich, S. U. (2023). Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity.

Chicago Style (17th ed.) Citation

Li, Bo, Yasin Esfandiari, Mikkel N. Schmidt, Tommy S. Alstrøm, and Sebastian U. Stich. Synthetic Data Shuffling Accelerates the Convergence of Federated Learning Under Data Heterogeneity. 2023.

MLA (9th ed.) Citation

Li, Bo, et al. Synthetic Data Shuffling Accelerates the Convergence of Federated Learning Under Data Heterogeneity. 2023.