Think Different

  Federated learning is a machine learning technique that allows multiple devices or clients to collaboratively train a shared model without sharing their raw data. This approach helps to preserve data privacy while still enabling the development of accurate and robust machine learning models. How Google uses federated learning: Google has been a pioneer in the development and application of federated learning. Here are some key examples of how they use it: Gboard: Google's keyboard app uses federated learning to improve next-word prediction and autocorrect suggestions. By analyzing the typing patterns of millions of users on their devices, Gboard can learn new words and phrases without ever accessing the raw text data. Google Assistant: Federated learning is used to enhance Google Assistant's understanding of natural language and improve its ability to perform tasks like setting alarms, playing music, and answering questions. Pixel phones: Google uses federated learning...