Publications

  • FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. pdf

    Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou.


  • FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. pdf

    Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou.


  • Federated Matrix Factorization with Privacy Guarantee. VLDB’21. pdf

    Zitao Li, Bolin Ding, Ce Zhang, Ninghui Li, Jingren Zhou


  • Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy. VLDB’20. pdf

    Min Xu, Bolin Ding, Tianhao Wang, Jingren Zhou.


  • Improving Utility and Security of the Shuffler-based Differential Privacy. VLDB’20. pdf

    Tianhao Wang, Bolin Ding, Min Xu, Zhicong Huang, Cheng Hong, Jingren Zhou, Ninghui Li, Somesh Jha.


  • Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. SIGMOD’19. pdf

    Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha.


  • DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy. VLDB’19. pdf

    Min Xu, Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang.