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20202026
most citedTowards Self-learning Edge Intelligence in 6G

3 citations · 18 across the 20 of their papers we have counts for

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5 papers · 1 filter

cs.IT2025

A MIMO ISAC System for Ultra-Reliable and Low-Latency Communications

Homa Nikbakht, Yonina C. Eldar, H. Vincent Poor

In this paper, we propose a bi-static multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system to detect the arrival of ultra-reliable and low-laten…

cs.IT2024★ 1 cited

Wireless Federated Learning over Resource-Constrained Networks: Digital versus Analog Transmissions

Jiacheng Yao, Wei Xu, Zhaohui Yang +3

To enable wireless federated learning (FL) in communication resource-constrained networks, two communication schemes, i.e., digital and analog ones, are effective solutions. In thi…

cs.IT2024★ 3 cited

Digital versus Analog Transmissions for Federated Learning over Wireless Networks

Jiacheng Yao, Wei Xu, Zhaohui Yang +3

In this paper, we quantitatively compare these two effective communication schemes, i.e., digital and analog ones, for wireless federated learning (FL) over resource-constrained ne…

cs.IT2023

Federated Learning via Active RIS Assisted Over-the-Air Computation

Deyou Zhang, Ming Xiao, Mikael Skoglund +1

In this paper, we propose leveraging the active reconfigurable intelligence surface (RIS) to support reliable gradient aggregation for over-the-air computation (AirComp) enabled fe…

cs.IT2023

IRS Assisted Federated Learning A Broadband Over-the-Air Aggregation Approach

Deyou Zhang, Ming Xiao, Zhibo Pang +2

We consider a broadband over-the-air computation empowered model aggregation approach for wireless federated learning (FL) systems and propose to leverage an intelligent reflecting…