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Author

Achieng Maureen Adong

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#federated learning Open access Sep 2026

Privacy-Preserving Federated Learning for Computational Pharmaceutical Applied Aspect in Uganda: Robustness Under Distribution Shift and Sparse Labels

Federated learning offers a pathway toward privacy-preserving computational pharmaceutical analysis across Ugandan health facilities, yet its practical utility is constrained by two under-examined statistical realities: the non-independence of client data distributions and the scarcity of validated labels. We introduce...

Achieng Maureen Adong, Kizza Ivan Mugisha, Nakimuli Sarah Wamala · 0 citations
#federated learning Open access Sep 2026

Privacy-Preserving Federated Learning for Computational Pharmaceutical Applied Aspect in Uganda: Robustness Under Distribution Shift and Sparse Labels

Federated learning offers a pathway toward privacy-preserving computational pharmaceutical analysis across Ugandan health facilities, yet its practical utility is constrained by two under-examined statistical realities: the non-independence of client data distributions and the scarcity of validated labels. We introduce...

Achieng Maureen Adong, Kizza Ivan Mugisha, Nakimuli Sarah Wamala · 0 citations

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