105 citations · 332 across the 31 of their papers we have counts for
11 papers · 1 filter
Learning Proximal Operator Methods for Massive Connectivity in IoT Networks
Yinan Zou, Yong Zhou, Yuanming Shi +1
Grant-free random access has the potential to support massive connectivity in Internet of Things (IoT) networks, where joint activity detection and channel estimation (JADCE) is a…
Sparse Signal Processing for Massive Connectivity via Mixed-Integer Programming
Shuang Liang, Yuanming Shi, Yong Zhou
Massive connectivity is a critical challenge of Internet of Things (IoT) networks. In this paper, we consider the grant-free uplink transmission of an IoT network with a multi-ante…
Over-the-Air Computation via Cloud Radio Access Networks
Lukuan Xing, Yong Zhou, Yuanming Shi
Over-the-air computation (AirComp) has recently been recognized as a promising scheme for a fusion center to achieve fast distributed data aggregation in wireless networks via expl…
Over-the-Air Decentralized Federated Learning
Yandong Shi, Yong Zhou, Yuanming Shi
In this paper, we consider decentralized federated learning (FL) over wireless networks, where over-the-air computation (AirComp) is adopted to facilitate the local model consensus…
UAV Aided Over-the-Air Computation
Min Fu, Yong Zhou, Yuanming Shi +2
Over-the-air computation (AirComp) seamlessly integrates communication and computation by exploiting the waveform superposition property of multiple-access channels. Different from…
Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation
Shaoming Huang, Yong Zhou, Ting Wang +1
Federated learning (FL) is recognized as a key enabling technology to provide intelligent services for future wireless networks and industrial systems with delay and privacy guaran…