8 papers
Federated Unlearning Over Wireless Networks
Yixuan Chen, Zhouxiang Zhao, Mingzhe Chen +3
To comply with stringent data privacy regulations, federated unlearning (FU) has emerged as a critical paradigm. However, its implementation over wireless networks introduces sever…
A New Pathway to Integrated Learning and Communication (ILAC): Large AI Model and Hyperdimensional Computing for Communication
Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng +4
The rapid evolution of forthcoming sixth-generation (6G) wireless networks necessitates the seamless integration of artificial intelligence (AI) with wireless communications to sup…
Integrated Sensing, Computing and Semantic Communication for Vehicular Networks
Yinchao Yang, Zhaohui Yang, Chongwen Huang +4
This paper introduces a novel framework for integrated sensing, computing, and semantic communication (ISCSC) within vehicular networks comprising a roadside unit (RSU) and multipl…
Task-Oriented Low-Label Semantic Communication With Self-Supervised Learning
Run Gu, Wei Xu, Zhaohui Yang +2
Task-oriented semantic communication enhances transmission efficiency by conveying semantic information rather than exact messages. Deep learning (DL)-based semantic communication…
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…