Achilles Byaruhanga Kiggwe

Privacy-Preserving Federated Learning for Health Informatics Clinical Focus in Uganda: Robustness Under Distribution Shift and Sparse Labels

Federated learning offers a promising architecture for training clinical machine learning models across distributed Ugandan health facilities without centralising sensitive patient data. However, the practical viability of this approach depends on its robustness to two conditions that characterise real-world health inf...