Federated Learning: Optimizing Objective Function

A universal server coordinates the training of a single model on a largely distributed network of computers in federated learning. This setting can easily be expanded to a multi-task learning system in order to manage real-world federated datasets with high statistical heterogeneity across devices. ... View More