Equitable Valuation of Crowdsensing for Machine Learning via Game Theory

Qiangqiang He, Yu Qiao, Shang Yang, Chongjun Wang. Equitable Valuation of Crowdsensing for Machine Learning via Game Theory. In Zhe Liu, Fan Wu, Sajal K. Das 0001, editors, Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Nanjing, China, June 25-27, 2021, Proceedings, Part III. Volume 12939 of Lecture Notes in Computer Science, pages 133-141, Springer, 2021. [doi]

@inproceedings{HeQYW21a,
  title = {Equitable Valuation of Crowdsensing for Machine Learning via Game Theory},
  author = {Qiangqiang He and Yu Qiao and Shang Yang and Chongjun Wang},
  year = {2021},
  doi = {10.1007/978-3-030-86137-7_15},
  url = {https://doi.org/10.1007/978-3-030-86137-7_15},
  researchr = {https://researchr.org/publication/HeQYW21a},
  cites = {0},
  citedby = {0},
  pages = {133-141},
  booktitle = {Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Nanjing, China, June 25-27, 2021, Proceedings, Part III},
  editor = {Zhe Liu and Fan Wu and Sajal K. Das 0001},
  volume = {12939},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86137-7},
}