The following publications are possibly variants of this publication:
- Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative LearningBin Gu 0001, an Xu, Zhouyuan Huo, Cheng Deng, Heng Huang. tnn, 33(11):6103-6115, 2022. [doi]
- FedV: Privacy-Preserving Federated Learning over Vertically Partitioned DataRunhua Xu, Nathalie Baracaldo, Yi Zhou 0015, Ali Anwar 0001, James Joshi, Heiko Ludwig. ccs 2021: 181-192 [doi]
- Efficient and Privacy-Preserving Feature Importance-Based Vertical Federated LearningAnran Li, Jiahui Huang, Ju Jia, Hongyi Peng, Lan Zhang 0002, Luu Anh Tuan, Han Yu 0001, Xiang-Yang Li 0001. tmc, 23(6):7238-7255, June 2024. [doi]
- Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning SystemYuncheng Wu, Naili Xing, Gang Chen 0001, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang 0001. pvldb, 16(10):2471-2484, 2023. [doi]
- Privacy Preserving Vertical Federated Learning for Tree-based ModelsYuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen 0001, Beng Chin Ooi. pvldb, 13(11):2090-2103, 2020. [doi]
- Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMMChulin Xie, Pin-Yu Chen, Qinbin Li, Arash Nourian, Ce Zhang 0001, Bo Li. satml 2024: 443-471 [doi]
- Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated LearningDashan Gao 0002, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang 0001. AAAI 2024: 19832-19839 [doi]