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20222026
most citedCombating Interference for Over-the-Air Federated Learning: A Statistical Approach via RIS

37 citations · 64 across the 15 of their papers we have counts for

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5 papers · 1 filter

eess.SP2025

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…

cs.IT2025

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…

cs.IT2025

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…

cs.IT2025

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…

cs.IT2025★ 37 cited

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…