Using HPE AI and Machine Learning “Enterprises seek to incorporate AI and machine learning to differentiate their products and services, but are often confronted with complexity in setting up the infrastructure required to build and train accurate AI models at scale,” stated Justin Hotard, executive vice president and general manager, HPC and AI, at HPE, in a press release. “The HPE Machine Learning Development System combines our proven end-to-end HPC solutions for deep learning with our innovative machine learning software platform into one system, to provide a performant out-of-the box solution to accelerate time to value and outcomes with AI.” The second platform, HPE Swarm, combines blockchain technology with the revolutionary learning methods “federated learning” and “swarm learning.” What Are Federated Learning and Swarm HP HPE2-N69 Exam Dumps Learning? Unlike traditional artificial intelligence (AI) models trained on centralized datasets, federated learning trains models on decentralized datasets. For example, let’s say a model is learning from data on a phone. The model runs on the phone’s data but does not send the actual data to a central server — only insights gleaned from it. This method is much more secure for the owner of the phone. It also makes the system faster and more efficient, because it does not have to send large amounts of data back and forth to a central server. However, HP Swarm takes federated learning to a new level by using swarm learning, a subset of federate learning.
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