7 papers
Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning
Yiyang Yue, Jiacheng Yao, Wei Xu +3
Wireless federated learning (FL) facilitates collaborative training of artificial intelligence (AI) models to support ubiquitous intelligent applications at the wireless edge. Howe…
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…
Digitalizing Over-the-Air Computation via The Novel Complement Coded Modulation
Zhixu Wang, Jiacheng Yao, Wei Xu +2
To overcome inherent limitations of analog signals in over-the-air computation (AirComp), this letter proposes a two's complement-based coding scheme for the AirComp implementation…
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…