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P. Hu is with the School of Mathematics, Harbin Institute of Technology, Harbin, China. J. Ma is with the Institute for Artificial Intelligence and the School of Earth and Space Sciences, Peking University, Beijing, China, and also with the Institute for Artificial Intelligence and the School of Mathematics, Harbin Institute of Technology, Harbin, China. Corresponding author: J. Ma (e-mail: jwm@pku.edu.cn)
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Personalized federated learning gets a Bayesian upgrade: pFedGM uses Gaussian generative modeling to capture client heterogeneity and outperforms existing methods in diverse scenarios.
