IEEE

Energy Efficient Heterogeneous Federated Learning Over Mobile Devices: A Deep Reinforcement Learning Based Stackelberg Game Approach

Abstract: Multi-access edge computing (MEC) is an important technology to accelerate the response speed of computation-intensive and delay-sensitive tasks, which promotes the development of Artificial ...
IEEE

Minimizing Delay in UAV-Aided Federated Learning for IoT Applications With Straggling Devices

Abstract: The Internet of Things (IoT) applications generate large volumes of data, which needs to be processed securely, reliably, and promptly for effective decision-making. However, the limited ...