FedGAN: A Federated Semi-supervised Learning from Non-IID Data

Chen Zhao, Zhipeng Gao, Qian Wang 0015, Zijia Mo, Xinlei Yu. FedGAN: A Federated Semi-supervised Learning from Non-IID Data. 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 II. Volume 13472 of Lecture Notes in Computer Science, pages 181-192, Springer, 2022. [doi]

@inproceedings{ZhaoGWMY22,
  title = {FedGAN: A Federated Semi-supervised Learning from Non-IID Data},
  author = {Chen Zhao and Zhipeng Gao and Qian Wang 0015 and Zijia Mo and Xinlei Yu},
  year = {2022},
  doi = {10.1007/978-3-031-19214-2_15},
  url = {https://doi.org/10.1007/978-3-031-19214-2_15},
  researchr = {https://researchr.org/publication/ZhaoGWMY22},
  cites = {0},
  citedby = {0},
  pages = {181-192},
  booktitle = {Wireless Algorithms, Systems, and Applications - 17th International Conference, WASA 2022, Dalian, China, November 24-26, 2022, Proceedings, Part II},
  editor = {Lei Wang 0005 and Michael Segal 0001 and Jenhui Chen and Tie Qiu 0001},
  volume = {13472},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-19214-2},
}