[ArXiv] AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks Z. Lin, G. Qu, W. Wei, X. Chen, and K. K. Leung Submitted to IEEE/ACM Transactions on Networking.
[ArXiv] Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities Z. Lin, G. Qu, Q. Chen, X. Chen, and K. Huang Submitted to IEEE Network.
[TMC] FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks Z. Lin, Z. Chen, Z. Fang, X. Chen, X. Wang, and Y. Gao IEEE Transactions on Mobile Computing, 2024.
[TMC] Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks Z. Lin, G. Zhu, Y. Deng, X. Chen, Y. Gao, K. Huang, and Y. Fang IEEE Transactions on Mobile Computing, 2024.
[WC] Split Learning in 6G Edge Networks Z. Lin, G. Qu, X. Chen, and K. Huang IEEE Wireless Communications, 2024.
[TWC] Tracking and Transmission Design in Terahertz V2I Networks Z. Lin, L. Wang, J. Ding, Y. Xu, and B. Tan IEEE Transactions on Wireless Communications, 2023.
[CL] Channel Power Gain Estimation for Terahertz Vehicle-to-infrastructure Networks Z. Lin, L. Wang, J. Ding, B. Tan, and S. Jin IEEE Communications Letters, 2023.
[TWC] Spatial-spectral Terahertz Networks Z. Lin, L. Wang, B. Tan, and X. Li IEEE Transactions on Wireless Communications, 2022.