Han Sun, Yan Zhang, Mingxuan Li, Zhen Xu. FLFHNN: An Efficient and Flexible Vertical Federated Learning Framework for Heterogeneous Neural Network. In Lei Wang 0005, Michael Segal 0001, Jenhui Chen, Tie Qiu 0001, editors, Wireless Algorithms, Systems, and Applications - 17th International Conference, WASA 2022, Dalian, China, November 24-26, 2022, Proceedings, Part I. Volume 13471 of Lecture Notes in Computer Science, pages 338-350, Springer, 2022. [doi]
@inproceedings{SunZLX22-1,
title = {FLFHNN: An Efficient and Flexible Vertical Federated Learning Framework for Heterogeneous Neural Network},
author = {Han Sun and Yan Zhang and Mingxuan Li and Zhen Xu},
year = {2022},
doi = {10.1007/978-3-031-19208-1_28},
url = {https://doi.org/10.1007/978-3-031-19208-1_28},
researchr = {https://researchr.org/publication/SunZLX22-1},
cites = {0},
citedby = {0},
pages = {338-350},
booktitle = {Wireless Algorithms, Systems, and Applications - 17th International Conference, WASA 2022, Dalian, China, November 24-26, 2022, Proceedings, Part I},
editor = {Lei Wang 0005 and Michael Segal 0001 and Jenhui Chen and Tie Qiu 0001},
volume = {13471},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-19208-1},
}