Introduction: The Rise of Federated Learning at the Edge In an era defined by the proliferation of Internet of Things (IoT) devices and the exponential growth of data generated at the edge, traditional centralized machine learning models are facing unprecedented challenges. Bandwidth limitations, latency issues, and growing concerns about data privacy are pushing the boundaries
