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20132023
most citedFederated Learning via Intelligent Reflecting Surface

210 citations · 1.1k across the 95 of their papers we have counts for

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Showing 2019Show all

11 papers · 1 filter

eess.SP2019★ 23 cited

Reconfigurable Intelligent Surface for Green Edge Inference

Sheng Hua, Yong Zhou, Kai Yang +1

Reconfigurable intelligent surface (RIS) as an emerging cost-effective technology can enhance the spectrum- and energy-efficiency of wireless networks. In this paper, we consider a…

cs.LG2019★ 57 cited

A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression

Kai Yang, Tao Fan, Tianjian Chen +2

Data privacy and security becomes a major concern in building machine learning models from different data providers. Federated learning shows promise by leaving data at providers l…

eess.SP2019★ 3 cited

Intelligent Reflecting Surface for Massive Device Connectivity: Joint Activity Detection and Channel Estimation

Shuhao Xia, Yuanming Shi

Intelligent Reflecting Surface (IRS) has been a promising solution to enhance wireless networks both spectral-efficiently and energy-efficiently. This paper considers an IRS-assist…

eess.SP2019★ 23 cited

Reconfigurable Intelligent Surface Empowered Downlink Non-Orthogonal Multiple Access

Min Fu, Yong Zhou, Yuanming Shi +1

Power-domain non-orthogonal multiple access (NOMA) has become a promising technology to exploit the new dimension of the power domain to enhance the spectral efficiency of wireless…

cs.IT2019★ 10 cited

A Graph Neural Network Approach for Scalable Wireless Power Control

Yifei Shen, Yuanming Shi, Jun Zhang +1

Deep neural networks have recently emerged as a disruptive technology to solve NP-hard wireless resource allocation problems in a real-time manner. However, the adopted neural netw…

cs.LG2019

Learning One-hidden-layer neural networks via Provable Gradient Descent with Random Initialization

Shuhao Xia, Yuanming Shi

Although deep learning has shown its powerful performance in many applications, the mathematical principles behind neural networks are still mysterious. In this paper, we consider…

cs.IT2019★ 9 cited

Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference

Kai Yang, Yuanming Shi, Wei Yu +1

Edge machine learning can deliver low-latency and private artificial intelligent (AI) services for mobile devices by leveraging computation and storage resources at the network edg…

eess.SP2019★ 13 cited

Intelligent Reflecting Surface for Downlink Non-Orthogonal Multiple Access Networks

Min Fu, Yong Zhou, Yuanming Shi

Intelligent reflecting surface (IRS) has recently been recognized as a promising technology to enhance the energy and spectrum efficiency of wireless networks by controlling the wi…

cs.IT2019★ 13 cited

Over-the-Air Computation via Intelligent Reflecting Surfaces

Tao Jiang, Yuanming Shi

Over-the-air computation (AirComp) becomes a promising approach for fast wireless data aggregation via exploiting the superposition property in a multiple access channel. To furthe…

cs.NI2019

The Roadmap to 6G -- AI Empowered Wireless Networks

Khaled B. Letaief, Wei Chen, Yuanming Shi +2

The recent upsurge of diversified mobile applications, especially those supported by Artificial Intelligence (AI), is spurring heated discussions on the future evolution of wireles…

cs.IT2019★ 4 cited

Large-Scale Beamforming for Massive MIMO via Randomized Sketching

Hayoung Choi, Tao Jiang, Yuanming Shi +2

Massive MIMO system yields significant improvements in spectral and energy efficiency for future wireless communication systems. The regularized zero-forcing (RZF) beamforming is a…