Federated Learning: Advancing AI Through Decentralized Data Training
Artificial intelligence systems require large amounts of data to improve their performance. However, collecting and centralizing sensitive information can create privacy, security, and regulatory challenges. Federated Learning offers a new approach by allowing AI models to learn from data stored on multiple devices or locations without requiring the data itself to be transferred. This technology … Read more