This repository contains the implementation and experimental code for our research on federated learning for cross-border malaria surveillance in West Africa, addressing the challenge of data heterogeneity while keeping raw records within national boundaries (an architectural property that is consistent with the data-minimisation goals of the Ghana Data Protection Act, the Nigeria Data Protection Act 2023 and the African Union Malabo Convention; it is not a claim of legal compliance, and no differential privacy or secure aggregation is applied).
Nana Agyemang Ebenezer, Eric Opoku Osei· Zenodo (CERN European Organi...· 0 citations
This repository contains the implementation and experimental code for our research on federated learning for cross-border malaria surveillance in West Africa, addressing the challenge of data heterogeneity while keeping raw records within national boundaries (an architectural property that is consistent with the data-minimisation goals of the Ghana Data Protection Act, the Nigeria Data Protection Act 2023 and the African Union Malabo Convention; it is not a claim of legal compliance, and no differential privacy or secure aggregation is applied).
Nana Agyemang Ebenezer, Eric Opoku Osei· Zenodo (CERN European Organi...· 0 citations
This repository contains the implementation and experimental code for our research on federated learning for cross-border malaria surveillance in West Africa, addressing the challenge of data heterogeneity while keeping raw records within national boundaries (an architectural property that is consistent with the data-minimisation goals of the Ghana Data Protection Act, the Nigeria Data Protection Act 2023 and the African Union Malabo Convention; it is not a claim of legal compliance, and no differential privacy or secure aggregation is applied).
Nana Agyemang Ebenezer, Eric Opoku Osei· Zenodo (CERN European Organi...· 0 citations
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