700% higher concurrency 50% memory savings Startup is 10 times faster. Packing 90% smaller; It also supports java8 ~ java25, native runtime.

Abstract: Federated learning is a promising collaborative learning system from the perspective of training data privacy preservation; however, there is a risk of privacy leakage from individual local ...

Abstract: Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages, FL is ...