Runhua Xu, Nathalie Baracaldo, Yi Zhou 0015, Ali Anwar 0001, James Joshi, Heiko Ludwig. FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. In Nicholas Carlini, Ambra Demontis, Yizheng Chen, editors, AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, Virtual Event, Republic of Korea, 15 November 2021. pages 181-192, ACM, 2021. [doi]
@inproceedings{XuB00JL21,
title = {FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data},
author = {Runhua Xu and Nathalie Baracaldo and Yi Zhou 0015 and Ali Anwar 0001 and James Joshi and Heiko Ludwig},
year = {2021},
doi = {10.1145/3474369.3486872},
url = {https://doi.org/10.1145/3474369.3486872},
researchr = {https://researchr.org/publication/XuB00JL21},
cites = {0},
citedby = {0},
pages = {181-192},
booktitle = {AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, Virtual Event, Republic of Korea, 15 November 2021},
editor = {Nicholas Carlini and Ambra Demontis and Yizheng Chen},
publisher = {ACM},
isbn = {978-1-4503-8657-9},
}