USST: A two-phase privacy-preserving framework for personalized recommendation with semi-distributed training

Yipeng Zhou, Jun Liu 0001, Jessie Hui Wang, Jilong Wang 0001, Guanfeng Liu, Di Wu 0001, Chao Li, Shui Yu. USST: A two-phase privacy-preserving framework for personalized recommendation with semi-distributed training. Inf. Sci., 606:688-701, 2022. [doi]

@article{ZhouLWWLWLY22,
  title = {USST: A two-phase privacy-preserving framework for personalized recommendation with semi-distributed training},
  author = {Yipeng Zhou and Jun Liu 0001 and Jessie Hui Wang and Jilong Wang 0001 and Guanfeng Liu and Di Wu 0001 and Chao Li and Shui Yu},
  year = {2022},
  doi = {10.1016/j.ins.2022.05.083},
  url = {https://doi.org/10.1016/j.ins.2022.05.083},
  researchr = {https://researchr.org/publication/ZhouLWWLWLY22},
  cites = {0},
  citedby = {0},
  journal = {Inf. Sci.},
  volume = {606},
  pages = {688-701},
}