Search Results for author: Zixuan Qin

Found 1 papers, 0 papers with code

Reliable and Interpretable Personalized Federated Learning

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.

Personalized Federated Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.