1. Al-Shedivat, M., Gillenwater, J., Xing, E., Rostamizadeh, A.: Federated learning via posterior averaging: a new perspective and practical algorithms. In: International Conference on Learning Representations (2021)
2. Alharbi, Y.: A novel federated learning based lightweight sustainable IoT approach to identify abnormal traffic. Int. J. Pervasive Comput. Commun. (2022)
3. Chen, H.Y., Chao, W.L.: Fedbe: making Bayesian model ensemble applicable to federated learning. In: International Conference on Learning Representations (2021)
4. Chen, Y.C.: A tutorial on kernel density estimation and recent advances. Biostat. Epidemiol. 1(1), 161–187 (2017)
5. Guo, Y., Tang, X., Lin, T.: Fedbr: improving federated learning on heterogeneous data via local learning bias reduction. In: International Conference on Machine Learning, pp. 12034–12054. PMLR (2023)