activity
20212023
most citedAlgorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IT2023

Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization

Yuanming Shi, Shuhao Xia, Yong Zhou +3

Vertical federated learning (FL) is a collaborative machine learning framework that enables devices to learn a global model from the feature-partition datasets without sharing loca…

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…

cs.LG2022

Trustworthy Federated Learning via Blockchain

Zhanpeng Yang, Yuanming Shi, Yong Zhou +2

The safety-critical scenarios of artificial intelligence (AI), such as autonomous driving, Internet of Things, smart healthcare, etc., have raised critical requirements of trustwor…

cs.LG2022

Gan-Based Joint Activity Detection and Channel Estimation For Grant-free Random Access

Shuang Liang, Yinan Zou, Yong Zhou

Joint activity detection and channel estimation (JADCE) for grant-free random access is a critical issue that needs to be addressed to support massive connectivity in IoT networks.…

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…

cs.IT2021★ 2 cited

Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee

Yandong Shi, Hayoung Choi, Yuanming Shi +1

Massive access is a critical design challenge of Internet of Things (IoT) networks. In this paper, we consider the grant-free uplink transmission of an IoT network with a multiple-…