Personalized Private-Shared Federated Model with an Application to Distributed Additive Manufacturing
Currently, many small and medium-sized organizations struggle with limited data availability and computational resources, leading to poor predictive capabilities due to data isolation. Federated Learning (FL) addresses this by enabling collaborative model training without data sharing, overcoming data silos. However, F...