99 citations · 703 across the 26 of their papers we have counts for
26 papers
Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework
Jingheng Zheng, Wanli Ni, Hui Tian +3
Under the organization of the base station (BS), wireless federated learning (FL) enables collaborative model training among multiple devices. However, the BS is merely responsible…
Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks
Wanli Ni, Jingheng Zheng, Hui Tian
Implementing existing federated learning in massive Internet of Things (IoT) networks faces critical challenges such as imbalanced and statistically heterogeneous data and device d…
Enhancing NOMA Networks via Reconfigurable Multi-Functional Surface
Ailing Zheng, Wanli Ni, Wen Wang +1
By flexibly manipulating the radio propagation environment, reconfigurable intelligent surface (RIS) is a promising technique for future wireless communications. However, the singl…
Federated Deep Reinforcement Learning for RIS-Assisted Indoor Multi-Robot Communication Systems
Ruyu Luo, Wanli Ni, Hui Tian +1
Indoor multi-robot communications face two key challenges: one is the severe signal strength degradation caused by blockages (e.g., walls) and the other is the dynamic environment…
Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface under Imperfect CSI
Wen Wang, Wanli Ni, Hui Tian +3
This paper investigates the use of the reconfigurable dual-functional surface to guarantee the full-space secure transmission in non-orthogonal multiple access (NOMA) networks. In…
Towards Communication-Learning Trade-off for Federated Learning at the Network Edge
Jianyang Ren, Wanli Ni, Hui Tian
In this letter, we study a wireless federated learning (FL) system where network pruning is applied to local users with limited resources. Although pruning is beneficial to reduce…
Online Offloading Scheduling for NOMA-Aided MEC Under Partial Device Knowledge
Meihui Hua, Hui Tian, Xinchen Lyu +2
By exploiting the superiority of non-orthogonal multiple access (NOMA), NOMA-aided mobile edge computing (MEC) can provide scalable and low-latency computing services for the Inter…
STAR-RIS Integrated Non-Orthogonal Multiple Access and Over-the-Air Federated Learning: Framework, Analysis, and Optimization
Wanli Ni, Yuanwei Liu, Yonina C. Eldar +2
This paper integrates non-orthogonal multiple access (NOMA) and over-the-air federated learning (AirFL) into a unified framework using one simultaneous transmitting and reflecting…
Research on Resource Allocation for Efficient Federated Learning
Jianyang Ren, Wanli Ni, Gaofeng Nie +1
As a promising solution to achieve efficient learning among isolated data owners and solve data privacy issues, federated learning is receiving wide attention. Using the edge serve…
QoS-Constrained Federated Learning Empowered by Intelligent Reflecting Surface
Jingheng Zheng, Wanli Ni, Hui Tian
This paper investigates the model aggregation process in an over-the-air federated learning (AirFL) system, where an intelligent reflecting surface (IRS) is deployed to assist the…
Integrating Over-the-Air Federated Learning and Non-Orthogonal Multiple Access: What Role can RIS Play?
Wanli Ni, Yuanwei Liu, Zhaohui Yang +2
With the aim of integrating over-the-air federated learning (AirFL) and non-orthogonal multiple access (NOMA) into an on-demand universal framework, this paper proposes a novel rec…
Deep Reinforcement Learning for Energy-Efficient Beamforming Design in Cell-Free Networks
Weilai Li, Wanli Ni, Hui Tian +1
Cell-free network is considered as a promising architecture for satisfying more demands of future wireless networks, where distributed access points coordinate with an edge cloud p…
Intelligent Reflecting Surface Aided Multi-Cell NOMA Networks
Wanli Ni, Xiao Liu, Yuanwei Liu +2
This paper proposes a novel framework of resource allocation in intelligent reflecting surface (IRS) aided multi-cell non-orthogonal multiple access (NOMA) networks, where a sum-ra…
Intelligent Reflecting Surface Aided Secure UAV Communications
Wen Wang, Hui Tian, Wanli Ni +1
In this letter, we study the secure communication problem in the unmanned aerial vehicle (UAV) enabled networks aided by an intelligent reflecting surface (IRS) from the physical-l…
Rate Splitting Multiple Access for Joint Communication and Sensing Systems with Unmanned Aerial Vehicles
Yuwei Li, Wanli Ni, Hui Tian +2
This paper investigates the problem of resource allocation for joint communication and radar sensing system on rate-splitting multiple access (RSMA) based unmanned aerial vehicle (…
Federated Learning in Multi-RIS Aided Systems
Wanli Ni, Yuanwei Liu, Zhaohui Yang +2
This paper investigates the problem of model aggregation in federated learning systems aided by multiple reconfigurable intelligent surfaces (RISs). The effective integration of co…
Resource Allocation for Multi-Cell IRS-Aided NOMA Networks
Wanli Ni, Xiao Liu, Yuanwei Liu +2
This paper proposes a novel framework of resource allocation in multi-cell intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) networks, where an IRS i…
Data Age Aware Scheduling for Wireless Powered Mobile-Edge Computing in Industrial Internet of Things
Hao Wu, Hui Tian, Shaoshuai Fan +1
Wireless powered mobile edge computing has been envisioned as a promising paradigm to enhance the computation capability of low-power wireless devices in Industrial Internet of Thi…
Online Optimization of Wireless Powered Mobile-Edge Computing for Heterogeneous Industrial Internet of Things
Hao Wu, Xinchen Lyu, Hui Tian
A spurt of progress in wireless power transfer (WPT) and mobile edge computing (MEC) provides a promising approach for Industrial Internet of Things (IIoT) to enhance the quality a…
Optimization Matrix Factorization Recommendation Algorithm Based on Rating Centrality
Zhipeng Wu, Hui Tian, Xuzhen Zhu +1
Matrix factorization (MF) is extensively used to mine the user preference from explicit ratings in recommender systems. However, the reliability of explicit ratings is not always c…
Handover Control in Wireless Systems via Asynchronous Multi-User Deep Reinforcement Learning
Zhi Wang, Lihua Li, Yue Xu +2
In this paper, we propose a two-layer framework to learn the optimal handover (HO) controllers in possibly large-scale wireless systems supporting mobile Internet-of-Things (IoT) u…
Critical size of ego communication networks
Qing Wang, Jian Gao, Tao Zhou +2
With the help of information and communication technologies, studies on the overall social networks have been extensively reported recently. However, investigations on the directed…
Consistence beats causality in recommender systems
Xuzhen Zhu, Hui Tian, Zheng Hu +2
The explosive growth of information challenges people's capability in finding out items fitting to their own interests. Recommender systems provide an efficient solution by automat…
Personalized recommendation with corrected similarity
Xuzhen Zhu, Hui Tian, Shimin Cai
Personalized recommendation attracts a surge of interdisciplinary researches. Especially, similarity based methods in applications of real recommendation systems achieve great succ…