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20232026
most citedRethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm

1 citations · 1 across the 7 of their papers we have counts for

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cs.IT2025

Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning

Dingzhu Wen, Sijing Xie, Xiaowen Cao +4

This paper studies an over-the-air federated edge learning (Air-FEEL) system with integrated sensing, communication, and computation (ISCC), in which one edge server coordinates mu…

cs.IT2024

Edge Perception: Intelligent Wireless Sensing at Network Edge

Yuanhao Cui, Xiaowen Cao, Guangxu Zhu +2

Future sixth-generation (6G) networks are envisioned to support intelligent applications across various vertical scenarios, which have stringent requirements on high-precision sens…

cs.IT2024★ 1 cited

Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm

Zhonghao Lyu, Yuchen Li, Guangxu Zhu +3

In some applications, edge learning is experiencing a shift in focusing from conventional learning from scratch to new two-stage learning unifying pre-training and task-specific fi…

cs.IT2023

Integrating Sensing, Communication, and Power Transfer: Multiuser Beamforming Design

Ziqin Zhou, Xiaoyang Li, Guangxu Zhu +3

In the sixth-generation (6G) networks, massive low-power devices are expected to sense environment and deliver tremendous data. To enhance the radio resource efficiency, the integr…

cs.IT2023

Integrating Sensing, Communication, and Power Transfer: From Theory to Practice

Xiaoyang Li, Zidong Han, Guangxu Zhu +6

To support the development of internet-of-things applications, an enormous population of low-power devices are expected to be incorporated in wireless networks performing sensing a…