37 citations · 64 across the 15 of their papers we have counts for
13 papers · 1 filter
Flexible-Duplex Cell-Free Architecture for Secure Uplink Communications in Low-Altitude Wireless Networks
Wei Shi, Wei Xu, Yongming Huang +3
Low-altitude wireless networks (LAWNs) are expected to play a central role in future 6G infrastructures, yet uplink transmissions of uncrewed aerial vehicles (UAVs) remain vulnerab…
Byzantine-Resilient Over-the-Air Federated Learning under Zero-Trust Architecture
Jiacheng Yao, Wei Shi, Wei Xu +3
Over-the-air computation (AirComp) has emerged as an essential approach for enabling communication-efficient federated learning (FL) over wireless networks. Nonetheless, the inhere…
Quantized Analog Beamforming Enabled Multi-task Federated Learning Over-the-air
Jiacheng Yao, Wei Xu, Guangxu Zhu +3
Over-the-air computation (AirComp) has recently emerged as a pivotal technique for communication-efficient federated learning (FL) in resource-constrained wireless networks. Though…
Energy-Efficient Edge Inference in Integrated Sensing, Communication, and Computation Networks
Jiacheng Yao, Wei Xu, Guangxu Zhu +2
Task-oriented integrated sensing, communication, and computation (ISCC) is a key technology for achieving low-latency edge inference and enabling efficient implementation of artifi…
Combating Interference for Over-the-Air Federated Learning: A Statistical Approach via RIS
Wei Shi, Jiacheng Yao, Wei Xu +4
Over-the-air computation (AirComp) integrates analog communication with task-oriented computation, serving as a key enabling technique for communication-efficient federated learnin…
Empowering Over-the-Air Personalized Federated Learning via RIS
Wei Shi, Jiacheng Yao, Jindan Xu +3
Over-the-air computation (AirComp) integrates analog communication with task-oriented computation, serving as a key enabling technique for communication-efficient federated learnin…
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…
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…
Superimposed RIS-phase Modulation for MIMO Communications: A Novel Paradigm of Information Transfer
Jiacheng Yao, Jindan Xu, Wei Xu +2
Reconfigurable intelligent surface (RIS) is regarded as an important enabling technology for the sixth-generation (6G) network. Recently, modulating information in reflection patte…
Imperfect CSI: A Key Factor of Uncertainty to Over-the-Air Federated Learning
Jiacheng Yao, Zhaohui Yang, Wei Xu +2
Over-the-air computation (AirComp) has recently been identified as a prominent technique to enhance communication efficiency of wireless federated learning (FL). This letter invest…
GoMORE: Global Model Reuse for Resource-Constrained Wireless Federated Learning
Jiacheng Yao, Zhaohui Yang, Wei Xu +2
Due to the dynamics of wireless environment and limited bandwidth, wireless federated learning (FL) is challenged by frequent transmission errors and incomplete aggregation from de…
Robust Beamforming Design for RIS-aided Cell-free Systems with CSI Uncertainties and Capacity-limited Backhaul
Jiacheng Yao, Jindan Xu, Wei Xu +3
In this paper, we consider the robust beamforming design in a reconfigurable intelligent surface (RIS)-aided cell-free (CF) system considering the channel state information (CSI) u…
A Universal Framework of Superimposed RIS-Phase Modulation for MISO Communication
Jiacheng Yao, Jindan Xu, Wei Xu +2
To fully exploit the additional dimension brought by reconfigurable intelligent surface (RIS), it is recently suggested by information theory that modulating information upon RIS p…