Guopeng Zhang

Optimizing Federated Learning Efficiency via Slimmable Neural Networks and AirComp for Resource-Heterogeneous Devices

With the rapid growth of the Internet of Things (IoT) and edge intelligence, federated learning (FL) has become a promising approach for distributed model training while preserving privacy. However, the resource constraints of IoT devices, including limited communication bandwidth and heterogeneous computational and en...