Chen Zhao, Zhipeng Gao, Qian Wang, Zijia Mo, Xinlei Yu. FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT. In Honghao Gao, Xinheng Wang 0001, Wei Wei, Tasos Dagiuklas, editors, Collaborative Computing: Networking, Applications and Worksharing - 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part I. Volume 460 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 115-134, Springer, 2022. [doi]
@inproceedings{ZhaoGWMY22-0,
title = {FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT},
author = {Chen Zhao and Zhipeng Gao and Qian Wang and Zijia Mo and Xinlei Yu},
year = {2022},
doi = {10.1007/978-3-031-24383-7_7},
url = {https://doi.org/10.1007/978-3-031-24383-7_7},
researchr = {https://researchr.org/publication/ZhaoGWMY22-0},
cites = {0},
citedby = {0},
pages = {115-134},
booktitle = {Collaborative Computing: Networking, Applications and Worksharing - 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part I},
editor = {Honghao Gao and Xinheng Wang 0001 and Wei Wei and Tasos Dagiuklas},
volume = {460},
series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
publisher = {Springer},
isbn = {978-3-031-24383-7},
}