no code implementations • CVPR 2023 • Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, QinGhua Hu
When there are large differences in data distribution among clients, it is crucial for federated learning to design a reliable client selection strategy and an interpretable client communication framework to better utilize group knowledge.