Author

Chun-Feng Xie

h-index 1 View on Semantic Scholar

We have 3 of 7 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Sep 2026

Accelerating Wireless Hierarchical Split Federated Learning via Smashed Data Generation

As the size of machine learning models scales up, conventional federated learning (FL) encounters challenges on wireless edge clients due to scarce resources. Split federated learning (SFL) mitigates these constraints by offloading part of the model to the edge server. However, most prior work adopts two-tier synchrono...

Chun-Feng Xie, Zhi-Xiong Chen, Wen-Qiang Yi et al. · IEEE International Symposium... · 0 citations

Conference Aug 2026

Beamforming-Aided Wireless Multimodal Federated Learning: Dynamic Pruning and Joint Optimization

Wireless multimodal federated learning (MFL) is promising for privacy-preserving edge intelligence, but its practical deployment is challenged by modality heterogeneity, client resource heterogeneity, and the high communication and computation cost of multimodal models. This paper proposes a beamforming-aided wireless...

Chun-Feng Xie, Zhi-Xiong Chen, Wenqiang Yi et al. · 2026 IEEE/CIC International... · 0 citations

2026

Distribution Deviation-Aware Split Federated Learning in Resource-Limited Wireless Networks

The escalating complexity of deep neural networks introduces substantial challenges to deploying federated learning (FL) in resource-limited edge environments. To address these limitations, split federated learning (SFL) has emerged as a promising paradigm, alleviating client-side computational and communication burden...

Chunfeng Xie, Zhixiong Chen, Wenqiang Yi et al. · IEEE Transactions on Communi... · 1 citation