They train it on their own private data, then summarize and encrypt the model’s new configuration. The model updates are despatched back again for the cloud, decrypted, averaged, and integrated into your centralized product. Iteration immediately after iteration, the collaborative training continues until the product is completely properly trained. Baracaldo https://material-modeling32739.onesmablog.com/the-smart-trick-of-open-ai-consulting-that-no-one-is-discussing-75444153