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Author

H. Yang

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2026

Boosting Throughput in Cache-Enabled Cognitive Radio Networks via Interference Cancellation

In this paper, we study the mechanism design of opportunistic spectrum access (OSA) in cache-enabled cognitive radio (CR) networks based on interference cancellation (IC). Particularly, we propose an IC-based OSA protocol under which a secondary transmit device (STx) can access the spectrum when it is detected in eithe...

Xiao-Shi Song, Jia-Wei Li, Li-Ying Tian et al. · 0 citations
2026

Communication-Efficient Over-the-Air Federated Learning via Lightweight Gradient Compression

Integrating over-the-air computations into the model aggregation process of federated learning (FL) offers a promising solution to mitigate the communication bottleneck in FL model training. In this approach, all the clients modulate their intermediate parameters, such as gradients, onto the same set of orthogonal wave...

Jiaqi Zhu, H. Yang, Nikolaos Pappas et al. · 0 citations
2026

Asymmetric Partial Model Transmission for Federated Edge Learning

Federated learning (FL) applications normally employ large deep learning (DL) models, resulting in excessive communication overhead in the deployment of FL over resource-constraint mobile edge networks. To achieve better scalability for DL-based FL, we capitalize on both the asymmetric nature of mobile networks and the...

Zi-Han Chen, H. Yang, Tony Q. S. Quek et al. · 0 citations

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