5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.NI2021
Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks
Shunpu Tang, Wenqi Zhou, Lunyuan Chen +3
In this paper, we study how to optimize the federated edge learning (FEEL) in UAV-enabled Internet of things (IoT) for B5G/6G networks, from a deep reinforcement learning (DRL) app…
eess.SP2020★ 5 cited
Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things
Rui Zhao, Xinjie Wang, Junjuan Xia +1
In this paper, we investigate mobile edge computing (MEC) networks for intelligent internet of things (IoT), where multiple users have some computational tasks assisted by multiple…