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1810.02400
Cited By
Privacy-Preserving Multiparty Learning For Logistic Regression
4 October 2018
Wei Du
Ang Li
Qinghua Li
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ArXiv (abs)
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Papers citing
"Privacy-Preserving Multiparty Learning For Logistic Regression"
4 / 4 papers shown
PraxiMLP: A Threshold-based Framework for Efficient Three-Party MLP with Practical Security
Tianle Tao
Shizhao Peng
Haogang Zhu
128
0
0
08 Nov 2025
Privacy-preserving Logistic Regression with Secret Sharing
BMC Medical Informatics and Decision Making (BMC Med Inform Decis Mak), 2021
Ali Reza Ghavamipour
Fatih Turkmen
Xiaoqian Jian
99
21
0
14 May 2021
Scalable Privacy-Preserving Distributed Learning
D. Froelicher
J. Troncoso-Pastoriza
Apostolos Pyrgelis
Sinem Sav
João Sá Sousa
Jean-Philippe Bossuat
Jean-Pierre Hubaux
FedML
340
76
0
19 May 2020
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence
Yanan Li
Shusen Yang
Xuebin Ren
Cong Zhao
FedML
222
42
0
17 Dec 2019
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