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[2602.17566] A Hybrid Federated Learning Based Ensemble Approach for Lung Disease Diagnosis Leveraging Fusion of SWIN Transformer and CNN
Summary
This article presents a hybrid federated learning model that combines SWIN Transformer and CNN for diagnosing lung diseases, particularly COVID-19 and pneumonia, using X-ray images.
Why It Matters
The integration of federated learning in healthcare allows for secure data sharing among medical institutions while enhancing diagnostic accuracy. This research is particularly relevant in the context of ongoing global health challenges, such as the COVID-19 pandemic, where timely and accurate diagnosis is crucial.
Key Takeaways
- The proposed model enhances lung disease diagnosis through a hybrid approach.
- Federated learning ensures data privacy while improving model accuracy.
- Utilizes advanced AI technologies like SWIN Transformer and CNN for effective diagnosis.
- Focuses on real-time continual learning to adapt to new data.
- Addresses critical healthcare challenges posed by COVID-19 and pneumonia.
Computer Science > Artificial Intelligence arXiv:2602.17566 (cs) COVID-19 e-print Important: e-prints posted on arXiv are not peer-reviewed by arXiv; they should not be relied upon without context to guide clinical practice or health-related behavior and should not be reported in news media as established information without consulting multiple experts in the field. [Submitted on 19 Feb 2026] Title:A Hybrid Federated Learning Based Ensemble Approach for Lung Disease Diagnosis Leveraging Fusion of SWIN Transformer and CNN Authors:Asif Hasan Chowdhury, Md. Fahim Islam, M Ragib Anjum Riad, Faiyaz Bin Hashem, Md Tanzim Reza, Md. Golam Rabiul Alam View a PDF of the paper titled A Hybrid Federated Learning Based Ensemble Approach for Lung Disease Diagnosis Leveraging Fusion of SWIN Transformer and CNN, by Asif Hasan Chowdhury and 5 other authors View PDF HTML (experimental) Abstract:The significant advancements in computational power cre- ate a vast opportunity for using Artificial Intelligence in different ap- plications of healthcare and medical science. A Hybrid FL-Enabled Ensemble Approach For Lung Disease Diagnosis Leveraging a Combination of SWIN Transformer and CNN is the combination of cutting-edge technology of AI and Federated Learning. Since, medi- cal specialists and hospitals will have shared data space, based on that data, with the help of Artificial Intelligence and integration of federated learning, we can introduce a secure and distributed system for medical dat...