They train it on their own non-public data, then summarize and encrypt the model’s new configuration. The product updates are despatched back on the cloud, decrypted, averaged, and integrated in the centralized model. Iteration after iteration, the collaborative education continues until finally the product is fully trained. Assure data privateness https://juvenalb221ytm7.fliplife-wiki.com/user