Federated Learning: Architectures, Challenges, and Applications in Distribute Machine Learning Intelligence
Federated Learning (FL) is a recently emerging machine learning model proposed to solve the issue of ownership, privacy, and security in collaborative model training. With FL, unlike the traditional centralized learning, raw data transfer to a central server is not required, and several devices or nodes can locally tra...