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Sian Wen

2 accepted papers

2025

CoGAP: A Personalized Federated Learning Method Using Collaborative Optimization for Medical Image Classification

ICASSP 2025accepted

Federated learning (FL) has been widely used in medical image processing to protect data privacy, but it has issues with data heterogeneity. Personalized federated learning have emerged to tackle these issues but often focuses too much on personalized models at the expense of global models. To addre…

Cited by 0SourceScholar
2025

Federated Hybrid-Supervised Learning for Universal Medical Image Segmentation

ICASSP 2025accepted

Federated Learning (FL) is an advanced technology that tackles the challenge of blocked data arising from privacy concerns, enabling the training of deep learning models without the need for data sharing. However, FL faces difficulties with heterogeneous data and limited annotations in medical image…

Cited by 0SourceScholar