danielke32/FL_malaria: FederatedMalaria

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Authors: Daniel Kwasi Kovor
Cited by: 0

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