Privacy-Preserving Federated Learning for Creative Clusters Districts in Uganda: Robustness Under Distribution Shift and Sparse Labels
Federated learning offers a promising paradigm for training machine learning models across distributed creative industry clusters without centralising sensitive cultural or commercial data. However, its deployment in Ugandan creative districts confronts two interrelated statistical challenges: distribution shift across...