| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - image-classification |
| - audio-classification |
| tags: |
| - federated-learning |
| - medical-imaging |
| - benchmark |
| - sample |
| --- |
| |
| # FL-MedClsBench — Representative Sample |
|
|
| **Beyond Synthetic Splits: A Benchmark for Federated Learning on Real-World Medical Data Classification** |
|
|
| This is a **representative sample** of the full [FL-MedClsBench](https://huggingface.co/datasets/FL-MedClsBench/FL-MedClsBench) dataset (>14 GB). |
|
|
| --- |
|
|
| ## Sampling Methodology |
|
|
| - **Images**: 5 samples randomly selected per client (seed=42) |
| - **FL-BCa** (3D NIfTI MRI): 2 volumes per center |
| - **FL-ECG** (HDF5 ECG signals): full dataset included (~7 GB, 3 files) |
| - **Metadata**: All CSV split files (train/val/test × 3 seeds) included in full |
|
|
| --- |
|
|
| ## Included Datasets |
|
|
| | Dataset | Modality | Clients | Task | Full Size | |
| |---------|----------|---------|------|-----------| |
| | FL-Skin | Dermoscopy | 4 | 8-class skin lesion | ~800 MB | |
| | FL-OCT | Retinal OCT | 5 | 8-class OCT disease | ~1.6 GB | |
| | FL-COVID-XR | Chest X-ray | 5 | 3-class COVID-19 | ~400 MB | |
| | FL-COVID-CT | Chest CT | 5 | 3-class COVID-19 | ~500 MB | |
| | FL-ECG | 12-lead ECG | 3 | 20-class multilabel | ~7 GB | |
| | FL-BCa | T2W MRI | 4 | Binary bladder cancer | ~1 GB | |
| | FL-DR | Fundus | 5 | DR grading (5-class) | ~640 MB | |
| | FL-Glaucoma | Fundus | 4 | Binary glaucoma | ~275 MB | |
| | FL-Fetal | Ultrasound | 6 | 6-class fetal plane | ~740 MB | |
| | FL-TB | Chest X-ray | 5 | Binary tuberculosis | ~1.5 GB | |
|
|
| --- |
|
|
| ## Full Dataset |
|
|
| ➡️ **https://huggingface.co/datasets/FL-MedClsBench/FL-MedClsBench** |
|
|
| --- |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{fl_medclsbench2026, |
| title={Beyond Synthetic Splits: A Benchmark for Federated Learning on Real-World Medical Data Classification}, |
| year={2026} |
| } |
| ``` |
|
|
