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Federated Learning for Tabular Data: Exploring Potential Risk to Privacy

Federated Learning for Tabular Data: Exploring Potential Risk to Privacy

13 October 2022
Han Wu
Zilong Zhao
L. Chen
Aad van Moorsel
    FedML
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Papers citing "Federated Learning for Tabular Data: Exploring Potential Risk to Privacy"

4 / 4 papers shown
Title
CTAB-GAN: Effective Table Data Synthesizing
CTAB-GAN: Effective Table Data Synthesizing
Zilong Zhao
A. Kunar
H. V. D. Scheer
Robert Birke
L. Chen
CML
123
198
0
16 Feb 2021
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
202
434
0
04 Mar 2020
Data Synthesis based on Generative Adversarial Networks
Data Synthesis based on Generative Adversarial Networks
Noseong Park
Mahmoud Mohammadi
Kshitij Gorde
S. Jajodia
Hongkyu Park
Youngmin Kim
116
467
0
09 Jun 2018
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
E. Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
156
569
0
19 Mar 2017
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