Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...

Abstract: Simple domain-specific graphical languages and libraries can empower a variety of users to create application behavior and logic. However, it remains challenging to produce and maintain a ...