Songge Zhang

According to our database, Songge Zhang authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Delay-Aware Large-Small Model Collaboration over LEO Satellite Networks.

Mingyu Guo, Wen Wu, Ying Wang, Songge Zhang, Liang Li

CoRR, May, 2026

Communication-Efficient Collaborative LLM Inference over LEO Satellite Networks.

Songge Zhang, Wen Wu, Liang Li, Ye Wang, Xuemin Shen

CoRR, April, 2026

2025

Efficient Model Training in Edge Networks With Hierarchical Split Learning.

Songge Zhang, Wen Wu, Lingyang Song, Xuemin Shen

IEEE Trans. Mob. Comput., October, 2025

Split Fine-Tuning for Large Language Models in Wireless Networks.

Songge Zhang, Guoliang Cheng, Wen Wu, Xinyu Huang, Lingyang Song, Xuemin Shen

IEEE J. Sel. Top. Signal Process., October, 2025

Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks.

Zuguang Li, Shaohua Wu, Liang Li, Songge Zhang

IEEE Netw. Lett., September, 2025

Split Fine-Tuning for Large Language Models in Wireless Networks.

Songge Zhang, Guoliang Cheng, Xinyu Huang, Zuguang Li, Wen Wu, Lingyang Song, Xuemin Shen

CoRR, January, 2025

Demo: Split-and-Pipeline: Collaborative Large Model Inference on Edge Devices.

Zuguang Li, Dongyuan Ou, Wen Wu, Songge Zhang, Shaohua Wu, Xuemin (Sherman) Shen

Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

2024

Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks.

Zuguang Li, Shaohua Wu, Liang Li, Songge Zhang

CoRR, 2024

SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network.

Songge Zhang, Guoliang Cheng, Zuguang Li, Wen Wu

Proceedings of the IEEE Globecom Workshops 2024, 2024

2023

Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks.

Songge Zhang, Wen Wu, Penghui Hu, Shaofeng Li, Ning Zhang

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Cluster-HSFL: A Cluster-Based Hybrid Split and Federated Learning.

Songge Zhang, Haoyu Tu, Zuguang Li, Shengbo Liu, Shaofeng Li, Wen Wu, Xuemin Sherman Shen

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2021

Robust Cooperative Communication Optimization for Multi-UAV-Aided Vehicular Networks.

Songge Zhang, Jianshan Zhou, Daxin Tian, Zhengguo Sheng, Xuting Duan, Victor C. M. Leung

IEEE Wirel. Commun. Lett., 2021