FedDBP: Enhancing Federated Prototype Learning with Dual-Branch Features and Personalized Global Fusion

Ningzhi Gao, Siquan Huang, Leyu Shi +1

Federated prototype learning (FPL), as a solution to heterogeneous federated learning (HFL), effectively alleviates the challenges of data and model heterogeneity.However, existing…