Federated Learning: Balancing the Thin Line Between Data Intelligence and Privacy

Sherin Mary Mathews, Samuel A. Assefa

Federated learning holds great promise in learning from fragmented sensitive data and has revolutionized how machine learning models are trained. This article provides a systematic…