Privacy-Preserving Federated Learning for Conflict Resolution Peacebuilding in Uganda: Robustness Under Distribution Shift and Sparse Labels
Federated learning offers a compelling architecture for peacebuilding analytics in conflict-affected regions, where data sovereignty, institutional sensitivity, and infrastructural fragility preclude centralised data aggregation. We introduce a federated empirical risk minimisation objective regularised by a Wasserstei...