Abstract: Large-scale datacenter networks are increasingly using in-network aggregation (INA) and remote direct memory access (RDMA) techniques to accelerate deep neural network (DNN) training.

The generated code, as well as the altered glue file are in this directory:: GherkinExecutorForJava/src/test/java/gherkinexecutor/Feature_Examples at main · atdd-bdd ...

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 ...