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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| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | en |
| Published: |
IEEE
2026
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| Subjects: | |
| 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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