Li, Z., Yuan, S., & Guan, Z. (2025). Robust and Scalable Federated Learning Framework for Client Data Heterogeneity Based on Optimal Clustering. Journal of parallel and distributed computing, 195, 104990. https://doi.org/10.1016/j.jpdc.2024.104990
Chicago Style (17th ed.) CitationLi, Zihan, Shuai Yuan, and Zhitao Guan. "Robust and Scalable Federated Learning Framework for Client Data Heterogeneity Based on Optimal Clustering." Journal of Parallel and Distributed Computing 195 (2025): 104990. https://doi.org/10.1016/j.jpdc.2024.104990.
MLA (9th ed.) CitationLi, Zihan, et al. "Robust and Scalable Federated Learning Framework for Client Data Heterogeneity Based on Optimal Clustering." Journal of Parallel and Distributed Computing, vol. 195, 2025, p. 104990, https://doi.org/10.1016/j.jpdc.2024.104990.