LF2L: Loss Fusion Horizontal Federated Learning Across Heterogeneous Feature Spaces Using External Datasets Effectively: A Case Study in Second Primary Cancer Prediction

LF2L: Loss Fusion Horizontal Federated Learning Across Heterogeneous Feature Spaces Using External Datasets Effectively: A Case Study in Second Primary Cancer Prediction explores A federated learning framework that leverages external datasets to improve second primary cancer prediction while preserving data privacy.. Commercial viability score: 7/10 in Federated Learning.