Adaptive Multimodal Fusion in Vertical Federated Learning for Decentralized Glaucoma Screening

<b>Background/Objectives:</b> Early and accurate detection of glaucoma is vital for preventing irreversible vision loss, yet traditional diagnostic approaches relying solely on unimodal retinal imaging are limited by data sparsity and constrained context. Furthermore, real-world clinical data are of...

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Bibliografiset tiedot

Päätekijät:	Ayesha Jabbar, Jianjun Huang, Muhammad Kashif Jabbar, Asad Ali
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-09-01
Sarja:	Brain Sciences
Aiheet:	vertical federated learning multimodal fusion glaucoma detection privacy-preserving healthcare AI attention-based neural networks
Linkit:	https://www.mdpi.com/2076-3425/15/9/990
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