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We develop a customizable graphical front end for a kubeflow pipeline specifically on quantum neural network (QNN)computation. It is based on the Node-red tool set. The flow consists of data...

We develop a new Node-red pipeline control flow over kubeflow pipeline execution. This flow divides the AI training, testing and deployment meta format for kubeflow AI pipeline execution. The functionality...

A graphical front end that can communicate with the kubeflow pipeline can save a lot of work for users who are not so familiar with the kubeflow environment. There are...

Federated learning is crucial for Hemodialysis patient data analysis. Its benefits are two folds. First, it can help to predict abrupt pressure drop which is lethal during Hemodialysis treatment process....

[Federarated learning] we add a horizontal federated learning example

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### Feature Area Many AI training use cases involves performance enhancement and security. Some times they are hard to balance. Distributed training requires data to stay at the local site,...