The results show a clear trend in that the performance is at its peak when the data ratio is split equally with one end-system possessing a majority of the data.
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Feasibility study of multi-site split learning for privacy-preserving medical systems under data imbalance constraints in COVID-19, X-ray, and cholesterol dataset.
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