PAFedFV: Personalized and Asynchronous Federated Learning for Finger Vein Recognition

arXiv:2404.13237v1 Announce Type: new
Abstract: With the increasing emphasis on user privacy protection, biometric recognition based on federated learning have become the latest research hotspot. However, traditional federated learning methods cannot be directly applied to finger vein recognition, due to heterogeneity of data and open-set verification. Therefore, only a few application cases have been proposed. And these methods still have two drawbacks. (1) Uniform model results in poor performance in some clients, as the finger vein data is highly heterogeneous …

abstract arxiv asynchronous become biometric cs.cv data federated learning however personalized privacy protection recognition research set type verification