Using HPE AI and Machine Learning But there is a real method | Forum

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Using HPE AI and Machine Learning But there is a real method to the madness. As envisioned, “Swarm Machine Learning” is targeted at scenarios involving privacy or regulation that preclude or discourage data from getting moved. That’s the rationale for the blockchain. For instance, you may have a group of hospitals that are cooperating in a study for applying machine learning to disease prevention, detection, or outcomes, but patient data is the immovable barrier. HPE implements a blockchain based on Ethereum technology that allows data to stay in place, models trained and run locally, in an environment where model results that are exchanged become tamper-proof. HPE sets up a Swarm network where individual nodes register, and then those nodes perform the modeling. It incorporates several components. It starts with Swarm Learning libraries that are delivered as containers that can run on any target infrastructure that is HP HPE2-N69 Exam Dumps based on Kubernetes. The models themselves stay intact; HPE claims that the models can be deployed on the swarm with just four additional lines of code. Then there is the Swarm Network, which is the blockchain, a control plane, and a license server. Potential Use Cases There are numerous potential use cases for distributed learning. In the healthcare domain, hospitals around the world can apply ML to identify cancer on MRI images, providing a large base of training data that does not have to be moved into a central place.

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jendy Feb 8 '23

This particular article appears to attract a territorial io sizable audience. How are you going to drive traffic to that? It gives problems a really interesting, original spin. I suppose the most important factor is having something conventional or possibly substantial to provide information on.

Max May 4 '23

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Using HPE AI and Machine Learning But there is a real method | Forum