PAFedFV: Personalized and Asynchronous Federated Learning for Finger Vein Recognition

no code implementations • 20 Apr 2024 • Hengyu Mu, Jian Guo, Chong Han, Lijuan Sun

Base on these experiment results, the impact of non-IID finger vein data on performance of federated learning are analyzed, and the superiority of PAFedFV in accuracy and robustness are demonstrated.

Federated Learning Finger Vein Recognition

Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks

no code implementations • 27 Dec 2023 • Chenyang Qiu, Guoshun Nan, Tianyu Xiong, Wendi Deng, Di Wang, Zhiyang Teng, Lijuan Sun, Qimei Cui, Xiaofeng Tao

This finding motivates us to present a novel method that aims to harden GCNs by automatically learning Latent Homophilic Structures over heterophilic graphs.

Contrastive Learning Node Classification

Finger Multimodal Feature Fusion and Recognition Based on Channel Spatial Attention

no code implementations • 6 Sep 2022 • Jian Guo, Jiaxiang Tu, Hengyi Ren, Chong Han, Lijuan Sun

In this paper, we propose a multimodal biometric fusion recognition algorithm based on fingerprints and finger veins (Fingerprint Finger Veins-Channel Spatial Attention Fusion Module, FPV-CSAFM).