FelixOwusuAnsah/Lighted-Federated-Learning-of-Anaemia-patients-of-Children-in-Ghana
Domaine:
healthcareType de record:
project
Créateur:
Fel
Hôte:
# Lighted-Federated-Learning-of-Anaemia-patients-of-Children-in-Ghana
There is a high level of childhood anaemia burden in Ghana,
which is not evenly distributed, and centralized prediction has been achieved
for childhood anaemia and recently for childhood malaria.
Childhood anaemia is high and is not uniformly distributed across Ghana,
and centralized prediction has been achieved for childhood anaemia and recently for childhood malaria.
Little is known about whether a lightweight FL system can achieve a competitive
predictive performance using Ghanaian regional data partitions with measurable
privacy protection while maintaining low communication and computation requirements
that also support regions with non-IID data heterogeneity.
Similaires
Trustworthy Federated LearningUrban malaria and anaemia in children: a cross‐sectional survey in two cities of GhanaA Decentralized Federated Learning Framework for Privacy-Preserving Malnutrition Risk Prediction in ChildrenMulti-scenario evaluation of federated learning for privacy-preserving malaria prediction with Ghana DHS dataData Summarization for Federated Learningmaxamud123/federated-learning-smart-grid