danielke32/FL_malaria: FederatedMalaria
Abstract
Federated Learning for Privacy-Preserving Malaria Prediction Code and data splits accompanying the manuscript submitted to ACM TIST. Contents Federated learning implementation (FedAvg, FedProx) Data preprocessing scripts Train/validation/test split indices Experiment configurations Analysis and visualization code Requirements Python 3.10 Flower 1.24.0 PyTorch 2.9.0 Citation If you use this code, please cite our paper.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 January 2026