Federated Learning: Advancing Privacy-Preserving Artificial Intelligence
Artificial intelligence systems rely heavily on large amounts of data for training and improvement. However, growing concerns about privacy, security, and data ownership have created challenges for traditional machine learning methods. Federated Learning offers a new approach by enabling AI models to learn from data without requiring that data to leave its original location. By … Read more