publications

2024

1. JEIT

   

   Direct Acyclic Graph Blockchain-based Personalized Federated Mutual Distillation Learning in Internet of Vehicles

   Xiaoge Huang, Yuhang Wu, Hongbo Yin, and 2 more authors

   Introduction of Journal of Electronics & Information Technology, 2024

   DOI Bib

   @article{JEIT,
     title = {Direct Acyclic Graph Blockchain-based Personalized Federated Mutual Distillation Learning in Internet of Vehicles},
     author = {Huang, Xiaoge and Wu, Yuhang and Yin, Hongbo and Liang, Chengchao and Chen, Qianbin},
     journal = {Introduction of Journal of Electronics & Information Technology},
     volume = {46},
     pages = {1--10},
     year = {2024},
     doi = {10.11999/JEIT230976},
     url = {https://jeit.ac.cn/en/article/doi/10.11999/JEIT230976},
   }

2023

1. IEEE IoTJ

   

   Distance-Aware Hierarchical Federated Learning in Blockchain-Enabled Edge Computing Network

   Xiaoge Huang, Yuhang Wu, Chengchao Liang, and 2 more authors

   IEEE Internet of Things Journal, 2023

   DOI Bib

   @article{DAHFL,
     author = {Huang, Xiaoge and Wu, Yuhang and Liang, Chengchao and Chen, Qianbin and Zhang, Jie},
     journal = {IEEE Internet of Things Journal},
     title = {Distance-Aware Hierarchical Federated Learning in Blockchain-Enabled Edge Computing Network},
     year = {2023},
     volume = {10},
     number = {21},
     pages = {19163-19176},
     keywords = {Data models;Computational modeling;Servers;Blockchains;Training;Internet of Things;Federated learning;Blockchain;data distance;hierarchical federated learning (HFL);learning latency},
     doi = {10.1109/JIOT.2023.3279983},
     url = {https://ieeexplore.ieee.org/document/10167763},
   }

2. IEEE CommL

   

   Multi-Region Asynchronous Swarm Learning for Data Sharing in Large-Scale Internet of Vehicles

   Hongbo Yin, Xiaoge Huang, Yuhang Wu, and 2 more authors

   IEEE Communications Letters, 2023

   DOI Bib

   @article{MRASL,
     author = {Yin, Hongbo and Huang, Xiaoge and Wu, Yuhang and Liang, Chengchao and Chen, Qianbin},
     journal = {IEEE Communications Letters},
     title = {Multi-Region Asynchronous Swarm Learning for Data Sharing in Large-Scale Internet of Vehicles},
     year = {2023},
     volume = {27},
     number = {11},
     pages = {2978-2982},
     keywords = {Data models;Blockchains;Training;Data privacy;Security;Computational modeling;Task analysis;The Internet of Vehicles;data sharing;blockchain;swarm learning},
     doi = {10.1109/LCOMM.2023.3314662},
     url = {https://ieeexplore.ieee.org/document/10247620},
   }

2022

1. IEEE WCSP2022

   

   Blockchain-enabled Edge Computing Framework for Hierarchic Cluster-based Federated Learning

   Xiaoge Huang, Yuhang Wu, Zhi Chen, and 2 more authors

   In 2022 14th International Conference on Wireless Communications and Signal Processing (WCSP), 2022

   DOI Bib

   @inproceedings{WCSP,
     author = {Huang, Xiaoge and Wu, Yuhang and Chen, Zhi and Chen, Qianbin and Zhang, Jie},
     booktitle = {2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)},
     title = {Blockchain-enabled Edge Computing Framework for Hierarchic Cluster-based Federated Learning},
     year = {2022},
     volume = {},
     number = {},
     pages = {33-37},
     keywords = {Wireless communication;Federated learning;Computational modeling;Simulation;Heuristic algorithms;Signal processing algorithms;Clustering algorithms;Federated Learning;Blockchain;Edge Computing Network;Hierarchic Cluster-based},
     doi = {10.1109/WCSP55476.2022.10039121},
   }