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MedSparseFL: Sparse and Privacy-Preserving Federated Learning for Healthcare Applications

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Figshare2026-02-12 更新2026-04-28 收录
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https://figshare.com/articles/dataset/MedSparseFL_Sparse_and_Privacy-Preserving_Federated_Learning_for_Healthcare_Applications/31323082
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This project provides processed data indexes for reproducing experiments from the MedSparseFL study, a sparse and privacy-preserving federated learning framework for healthcare applications. The datasets include CheXpert and HAM10000. For each dataset, CSV files (chexpert_index.csv and ham10000_index.csv) contain:Image IDs referencing the official dataset filesLabels used in classification tasksTrain/Validation/Test splits for experiment reproducibility
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2026-02-12
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