Federated Learning Federated Learning: A Deep Dive into Privacy-Preserving Collaborative AI. Federated Learning (FL) has emerged as a powerful paradigm for training machine learning models on decentralized data sources, such as mobile devices or IoT sensors, without directly sharing the sensitive data. This approach addresses critical privacy concerns and enables collaborative model training across diverse datasets, leading to more robust and personalized AI solutions. Here is an in-depth exploration of federated learning, covering its core…