Latency Optimization focuses on reducing the time it takes to retrieve data from decentralized oracles, ensuring that users and applications have timely access to critical information. This feature employs various techniques such as data caching, efficient routing protocols, and parallel processing to enhance the speed of data feeds. By optimizing latency, the feature aims to improve the overall performance of decentralized applications (dApps) that rely on real-time data, thereby enhancing user experience and trust in the system.