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eess.SP2022
Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks
Yinan Zou, Yong Zhou, Xu Chen +1
Grant-free random access is an effective technology for enabling low-overhead and low-latency massive access, where joint activity detection and channel estimation (JADCE) is a cri…
eess.SP2022★ 1 cited
Federated Learning via Unmanned Aerial Vehicle
Min Fu, Yuanming Shi, Yong Zhou
To enable communication-efficient federated learning (FL), this paper studies an unmanned aerial vehicle (UAV)-enabled FL system, where the UAV coordinates distributed ground devic…
eess.SP2022
Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning
Yinan Zou, Zixin Wang, Xu Chen +2
In this paper, we consider communication-efficient over-the-air federated learning (FL), where multiple edge devices with non-independent and identically distributed datasets perfo…