Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic Regression

7 April 2023

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