cs.CV

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

arXiv:2603.29455v1 Announce Type: new
Abstract: Federated prototype learning (FPL), as a solution to heterogeneous federated learning (HFL), effectively alleviates the challenges of data and model heterogeneity.However, existing FPL methods fail to ba…