How Federated Learning is Transforming ML with Privacy and Security
The growing demand for AI and machine learning applications has raised significant concerns regarding data privacy and security. Traditional ML models require centralized data collection, posing risks related to user confidentiality, regulatory compliance, and data ownership. Federated Learning (FL) emerges …