Federated Learning for Low-Latency IoT Communications
Mohammed M. Alenazi · 2025
Many sectors have been transformed by the growth of the Internet of Things devices, but it also presents difficulties, particularly in the latency of data exchange. In this research, I suggest a unique distributed federated learning architecture for low-latency Internet of Things communications. I empower IoT devices to jointly train machine learning models without compromising data privacy by utilizing federated learning techniques. To accomplish low-latency IoT communications, the architecture prioritizes communication efficiency optimization. Use Python to create this design and provide experimental data to show how successful.