MedSparseFL: Sparse and Privacy-Preserving Federated Learning for Healthcare Applications
收藏NIAID Data Ecosystem2026-05-10 收录
下载链接：
https://figshare.com/articles/dataset/MedSparseFL_Sparse_and_Privacy-Preserving_Federated_Learning_for_Healthcare_Applications/31323082
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资源简介：
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 files
Labels used in classification tasks
Train/Validation/Test splits for experiment reproducibility
创建时间：
2026-02-12
