Survey on data heterogeneity problems and personalization based solutions of federated learning in Internet of vehicles by LIU Miao, LIN Wanru, WANG Qin, GUI Guan

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FL-Joint: joint aligning features and labels in federated learning for data heterogeneity by Wenxin Chen, Jinrui Zhang, Deyu Zhang

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The Data Heterogeneity Issue Regarding COVID-19 Lung Imaging in Federated Learning: An Experimental Study by Fatimah Alhafiz, Abdullah Basuhail

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In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against Variability by Azhar Ali Khaked, Nobuyuki Oishi, Daniel Roggen, Paula Lago

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Federated edge learning with reconfigurable intelligent surface and its application in Internet of vehicles by Ping WANG, Zhiwei YANG, Heju LI

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