Learning Privately over Distributed Features: An ADMM Sharing Approach

17 July 2019

Papers citing "Learning Privately over Distributed Features: An ADMM Sharing Approach"

8 / 8 papers shown

Title
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy Yi Liu Ke Sun Linglong Kong Bei Jiang 65 6 0 17 Oct 2022
Practical Vertical Federated Learning with Unsupervised Representation Learning Zhaomin Wu Yue Liu Bingsheng He FedML 87 41 0 13 Aug 2022
Differentially Private Vertical Federated Clustering Zitao Li Tianhao Wang Ninghui Li FedML 94 19 0 02 Aug 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM Chulin Xie Pin-Yu Chen Qinbin Li Arash Nourian Ce Zhang Bo Li FedML 83 16 0 20 Jul 2022
Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning Yang Liu Tianyuan Zou Yan Kang Wenhan Liu Yuanqin He Zhi-qian Yi Qian Yang FedML AAML 140 20 0 10 Dec 2021
Self-supervised Cross-silo Federated Neural Architecture Search Xinle Liang Yang Liu Jiahuan Luo Yuanqin He Tianjian Chen Qiang Yang FedML 144 18 0 28 Jan 2021
Backdoor attacks and defenses in feature-partitioned collaborative learning Yang Liu Zhi-qian Yi Tianjian Chen AAML FedML 72 48 0 07 Jul 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 287 6,315 0 10 Dec 2019