Federated Learning refers to a machine learning approach that trains artificial intelligence models across multiple decentralized devices or institutions without centralizing data, enabling collaborative AI development while preserving data privacy and security. This technique allows smartphones, hospitals, financial institutions, and other organizations to contribute to model training while keeping sensitive information on local devices, fundamentally