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Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic Regression
7 April 2023
Jonathan Z. Chiang
Re-assign community
ArXiv (abs)
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Papers citing
"Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic Regression"
10 / 10 papers shown
Title
CryptoUNets: Applying Convolutional Networks to Encrypted Data for Biomedical Image Segmentation
John Chiang
FedML
61
0
0
30 Apr 2025
Privacy-Preserving CNN Training with Transfer Learning: Two Hidden Layers
John Chiang
FedML
81
0
0
17 Apr 2025
LFFR: Logistic Function For (single-output) Regression
John Chiang
123
0
0
13 Jul 2024
Privacy-Preserving Logistic Regression Training on Large Datasets
John Chiang
138
2
0
19 Jun 2024
A Simple Solution for Homomorphic Evaluation on Large Intervals
John Chiang
93
2
0
24 May 2024
Privacy-Preserving 3-Layer Neural Network Training
Jonathan Z. Chiang
82
5
0
18 Aug 2023
Multinomial Logistic Regression Algorithms via Quadratic Gradient
Jonathan Z. Chiang
48
6
0
14 Aug 2022
On Polynomial Approximation of Activation Function
Jonathan Z. Chiang
50
7
0
29 Jan 2022
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)
Jonathan Z. Chiang
72
12
0
29 Jan 2022
Privacy-Preserving Logistic Regression Training with A Faster Gradient Variant
Jonathan Z. Chiang
70
13
0
26 Jan 2022
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