Unified Proof of Work: Delegating and Solving Customized Computationally Bounded Problems in a Privacy-Preserving Way

Yue Fu, Qingqing Ye 0001, Rong Du, Haibo Hu 0001. Unified Proof of Work: Delegating and Solving Customized Computationally Bounded Problems in a Privacy-Preserving Way. In Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa, editors, Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part III. Volume 13423 of Lecture Notes in Computer Science, pages 309-317, Springer, 2022. [doi]

@inproceedings{FuYDH22,
  title = {Unified Proof of Work: Delegating and Solving Customized Computationally Bounded Problems in a Privacy-Preserving Way},
  author = {Yue Fu and Qingqing Ye 0001 and Rong Du and Haibo Hu 0001},
  year = {2022},
  doi = {10.1007/978-3-031-25201-3_24},
  url = {https://doi.org/10.1007/978-3-031-25201-3_24},
  researchr = {https://researchr.org/publication/FuYDH22},
  cites = {0},
  citedby = {0},
  pages = {309-317},
  booktitle = {Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part III},
  editor = {Bohan Li and Lin Yue and Chuanqi Tao and Xuming Han and Diego Calvanese and Toshiyuki Amagasa},
  volume = {13423},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25201-3},
}