Jun 5, 2023 · Abstract:Federated learning enables multiple hospitals to cooperatively learn a shared model without privacy disclosure.

Abstract— Federated learning enables multiple hospitals to cooperatively learn a shared model without privacy dis- closure. Existing methods often take a ...

Jun 5, 2023 · Federated learning enables multiple hospitals to cooperatively learn a shared model without privacy disclosure. Existing methods often take ...

Federated learning enables multiple hospitals to cooperatively learn a shared model without privacy disclosure. Existing methods often take a common assumption ...

Federated learning enables multiple hospitals to cooperatively learn a sharedmodel without privacy disclosure. Existing methods often take a ...

Cross-modal vertical federated learning for mri reconstruction. Y Yan, H Wang ... Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI ...

To this end, we formulate this practical-yet-challenging cross-modal vertical federated learning task, in which shape data from multiple hospitals have ...

In this paper, we propose a novel communication-efficient federated learning framework, namely Fed-PMG, to address the missing modality challenge in federated ...

Model-based federated learning for accurate MR image reconstruction from undersampled k-space data. https://doi.org/10.1016/j.compbiomed.2024.108905 ·.

Mar 12, 2024 · In this paper, we conduct a comprehensive survey of the recent development of federated learning methods in medical image analysis.