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…