Communication Efficient Mobile Data Collection for IoT Edge using Federated Learning

Internet of Things (IoT) has emerged in recent years as a result of substantial advances in computer and communication technology. A new paradigm for networked computing is federated learning (FL). However, utilizing FL in client-edge-computing will result in costly communication overheads, with usual resources used for ordinary communication. The edge server has more effective interactions with the IoT devices as well as with the cloud server.