2 papers
cs.LG2025
Personalized federated prototype learning in mixed heterogeneous data scenarios
Jiahao Zeng, Wolong Xing, Liangtao Shi +4
Federated learning has received significant attention for its ability to simultaneously protect customer privacy and leverage distributed data from multiple devices for model train…
cs.LG2024
Personalized federated learning based on feature fusion
Wolong Xing, Zhenkui Shi, Hongyan Peng +2
Federated learning enables distributed clients to collaborate on training while storing their data locally to protect client privacy. However, due to the heterogeneity of data, mod…