Client Scheduling in Wireless Federated Learning Based on Channel and Learning Qualities

Federated learning (FL) emerges as a distributed training method in the Internet of Things (IoT), allowing participating clients to use their local data to train local models and upload parameters for global model aggregation after every few local iterations, protecting data privacy and reducing communication overhead. Given the scarcity of wireless communication resources, in this letter, we prop...