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  • What do the CRD controllers do? Define the exact responsibilities of model & dataset CRDs and controllers.
  • How will the higher level tasks, i.e. federated learning, model serving etc, utilize the services provided by model & dataset CRDs. 
  • Cloud edge communication mechanism for the CRD controllers: do they share the existing port 10000, or use a new port exclusively for AI purpose? Related: how do cloud workers and edge workers communicate? Cloud workers can be scheduled in cloud worker nodes, which means they can be deployed as a K8s service and have an publicly routable endpoint. Can KubeEdge operate in hybrid mode, i.e. having both cloud worker nodes and edge nodes?

Use Cases

Model serving

Upon creating a model CRD object, model controller

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