They prepare it on their own private data, then summarize and encrypt the model’s new configuration. The design updates are sent again to the cloud, decrypted, averaged, and built-in to the centralized product. Iteration after iteration, the collaborative instruction carries on right up until the model is absolutely trained. TechTarget's https://raymondmieys.blogpixi.com/35010697/5-simple-statements-about-data-engineering-services-explained