Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
In federated learning, models are learned from users’ data that are held private in their edge devices, by aggregating them in the service provider’s “cloud” to obtain a global model. Such global model is of great commercial value in, e.g., improving the customers’ experience. In this paper we focus on …