Data privacy is becoming an increasingly critical aspect of analytics and machine learning. Organizations face challenges balancing data utility and privacy, especially with strict regulatory requirements such as GDPR and CCPA. In response, companies like Google have pioneered advanced privacy-preserving techniques, such as federated learning and differential privacy, which enable robust data insights while maintaining privacy. Let’s explore these methods and how they redefine data … Continue reading Federated Learning: A Privacy-Preserving Approach to AI