ResearchTrend.AI
Privacy-Preserving Logistic Regression Training with A Faster Gradient Variant
v1v2v3v4v5v6 (latest)

Privacy-Preserving Logistic Regression Training with A Faster Gradient Variant

Jonathan Z. Chiang
ArXiv (abs)PDFHTML

Papers citing "Privacy-Preserving Logistic Regression Training with A Faster Gradient Variant"

8 / 8 papers shown
Title
LFFR: Logistic Function For (multi-output) Regression
LFFR: Logistic Function For (multi-output) Regression
John Chiang
33
0
0
30 Jul 2024
LFFR: Logistic Function For (single-output) Regression
LFFR: Logistic Function For (single-output) Regression
John Chiang
123
0
0
13 Jul 2024
Privacy-Preserving Logistic Regression Training on Large Datasets
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
A Simple Solution for Homomorphic Evaluation on Large Intervals
John Chiang
93
2
0
24 May 2024
Privacy-Preserving 3-Layer Neural Network Training
Privacy-Preserving 3-Layer Neural Network Training
Jonathan Z. Chiang
82
5
0
18 Aug 2023
Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic Regression
Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic Regression
Jonathan Z. Chiang
121
8
0
07 Apr 2023
Quadratic Gradient: Combining Gradient Algorithms and Newton's Method as One
Quadratic Gradient: Combining Gradient Algorithms and Newton's Method as One
Jonathan Z. Chiang
69
2
0
03 Sep 2022
Multinomial Logistic Regression Algorithms via Quadratic Gradient
Multinomial Logistic Regression Algorithms via Quadratic Gradient
Jonathan Z. Chiang
48
6
0
14 Aug 2022