Uncertainty-Aware Federated Categorical Dirichlet Allocation for Reliable Industrial Systems
For distributed industrial systems, federated learning (FL) can collaborate with a large number of devices for efficient modeling without sharing local data. However, the unreliability of the global model in existing FL methods poses a significant barrier to practical industrial applications. To promote the reliability...