An Introduction to Federated Learning: Decentralized Data, Centralized Intelligence

In many real-world applications, training machine learning models on client data is challenging due to data exchange issues and user privacy concerns. To address these problems, McMahan et al. introduced federated learning in 2016. Definition of fede...