Federated Learning vs Homomorphic Encryption: Why Sherpa.ai’s Approach Makes the Difference

Federated Learning vs Homomorphic Encryption: Why Sherpa.ai’s Approach Makes the Difference

In an era where privacy matters more than ever, protecting data without sacrificing the power of artificial intelligence has become a top priority. To tackle this challenge, several privacy-preserving AI techniques have emerged. Among them, Federated Learning and Homomorphic Encryption stand out as two of the most prominent.Both enable training models without direct access to raw data. However, their approaches, technological maturity, and real-…