Adaptive federated learning model with unsupervised autoencoder-based reconstruction for imbalanced medical image classification

Medical image classification has significantly advanced due to deep learning techniques, however, the performance remains limited by class imbalance and the nature distribution of healthcare data. Federated Learning (FL) allows collaborative model training across multiple data sources, without requi...

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Bibliographic Details

Main Authors:	Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani,
Format:	Proceeding Paper
Language:	en
Published:	IEEE 2026
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/127405/7/127405_Adaptive%20federated%20learning%20model.pdf http://irep.iium.edu.my/127405/ https://ieeexplore.ieee.org/document/11363488
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