Google has introduced best practices for user-level model training with formal Differential Privacy guarantees. This is a mathematical technique used to maximize the accuracy of queries from statistical databases while minimizing the chances of identifying its records.In addition to this, Google also introduced a new Differential Privacy (DP) algorithm. This novel algorithm is designed to offer both scalability and strong privacy-utility trade-offs, a balance that is often challenging to achieve in the field of data privacy.