Federated Learning, Edge Computing, and On-Device Machine Learning are three paradigms that have emerged to address various challenges and opportunities in the field of artificial intelligence, particularly in the context of data privacy, computational efficiency, and real-time processing. Each of these paradigms has its unique characteristics, applications, and implications, which are important to understand for