Ensemble Method for Privacy-Preserving Logistic Regression Based on Homomorphic Encryption

Homomorphic encryption (HE) is one of promising cryptographic candidates resolving privacy issues in machine learning on sensitive data such as biomedical data and financial data. However, HE-based solutions commonly suffer from relatively high computational costs due to a large number of iterations...

Full description

Bibliographic Details
Published in:	IEEE Access
Main Authors:	Jung Hee Cheon, Duhyeong Kim, Yongdai Kim, Yongsoo Song
Format:	Article
Language:	English
Published:	IEEE 2018-01-01
Subjects:	Ensemble gradient descent with errors homomorphic encryption privacy-preserving logistic regression
Online Access:	https://ieeexplore.ieee.org/document/8444365/

Similar Items

Collaborative Computing of Privacy-Preserving Logistic Regression Based on Homomorphic Encryption
by: YANG Yuejia, HUA Bei, ZHONG Zhiwei, GAO Mi
Published: (2023-04-01)

Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach
by: Vankamamidi S. Naresh, et al.
Published: (2025-02-01)

Privacy-Preserving Federated Learning Using Homomorphic Encryption
by: Jaehyoung Park, et al.
Published: (2022-01-01)

A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
by: Wencheng Yang, et al.
Published: (2023-03-01)

Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption
by: Hong Cheng
Published: (2025-01-01)

Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption
by: William J. Buchanan, et al.
Published: (2025-05-01)

Homomorphic Encryption-Based Federated Privacy Preservation for Deep Active Learning
by: Hendra Kurniawan, et al.
Published: (2022-10-01)

A Privacy‐Preserving System for Confidential Carpooling Services Using Homomorphic Encryption
by: David Palma, et al.
Published: (2025-05-01)

An Efficient and Privacy-Preserving Federated Learning Approach Based on Homomorphic Encryption
by: Francesco Castro, et al.
Published: (2025-01-01)

Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning
by: Haokun Fang, et al.
Published: (2021-04-01)

Privacy Preserving Classification of EEG Data Using Machine Learning and Homomorphic Encryption
by: Andreea Bianca Popescu, et al.
Published: (2021-08-01)

Homomorphic Encryption Based Privacy-Preservation for IoMT
by: Mikail Mohammed Salim, et al.
Published: (2021-09-01)

UniHENN: Designing Faster and More Versatile Homomorphic Encryption-Based CNNs Without im2col
by: Hyunmin Choi, et al.
Published: (2024-01-01)

For what algebraic systems does a useful privacy homomorphism exist?
by: Valentina Grazian, et al.
Published: (2025-04-01)

Semi-Parallel logistic regression for GWAS on encrypted data
by: Miran Kim, et al.
Published: (2020-07-01)

Privacy-preserving Principal Component Analysis Based on Homomorphic Encryption
by: ZHANG Jindou, CHEN Jingwei, WU Wenyuan, FENG Yong
Published: (2024-08-01)

Convergence of Blockchain, k-medoids and homomorphic encryption for privacy preserving biomedical data classification
by: Shamima Akter, et al.
Published: (2022-01-01)

Privacy-Preserving EV Charging Authorization and Billing via Blockchain and Homomorphic Encryption
by: Amjad Aldweesh, et al.
Published: (2025-08-01)

Privacy-preserving mining of association rules based on paillier encryption algorithm
by: Huan XING, et al.
Published: (2016-01-01)

Efficient secure federated learning aggregation framework based on homomorphic encryption
by: Shengxing YU, et al.
Published: (2023-01-01)

Efficient secure federated learning aggregation framework based on homomorphic encryption
by: Shengxing YU, et al.
Published: (2023-01-01)

A Fast and Privacy-Preserving Outsourced Approach for K-Means Clustering Based on Symmetric Homomorphic Encryption
by: Wanqi Tang, et al.
Published: (2025-09-01)

Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms
by: Rafik Hamza, et al.
Published: (2022-04-01)

Toward Understanding Efficient Privacy-Preserving Homomorphic Comparison
by: Bernardo Pulido-Gaytan, et al.
Published: (2023-01-01)

Exploring Homomorphic Encryption and Differential Privacy Techniques towards Secure Federated Learning Paradigm
by: Rezak Aziz, et al.
Published: (2023-09-01)

Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach
by: Wen-Ting Lin, et al.
Published: (2025-03-01)

Privacy-Protection Method for Blockchain Transactions Based on Lightweight Homomorphic Encryption
by: Guiyou Wang, et al.
Published: (2024-07-01)

Research on algorithms of data encryption scheme that supports homomorphic arithmetical operations
by: ANGPan Y, et al.
Published: (2015-01-01)

Research on algorithms of data encryption scheme that supports homomorphic arithmetical operations
by: ANGPan Y, et al.
Published: (2015-01-01)

Securing gait recognition with homomorphic encryption
by: Marina Banov, et al.
Published: (2025-08-01)

Paillier Homomorphic Encryption Based Location Privacy Protection Scheme for Crowdsensing Task Distribution
by: TIAN Jing, DU Yunming, LI Shuai, LIU Yi
Published: (2022-06-01)

Privacy protection scheme for internet of vehicles based on homomorphic encryption and block chain technology
by: Ruijin WANG, et al.
Published: (2020-02-01)

Privacy-Preserving Feature Extraction for Medical Images Based on Fully Homomorphic Encryption
by: Junyi Zhang, et al.
Published: (2024-02-01)

Toward Bootstrapping-Free Homomorphic Encryption-Based GRU Network for Text Classification
by: Zeyu Wang, et al.
Published: (2024-01-01)

CHE: Channel-Wise Homomorphic Encryption for Ciphertext Inference in Convolutional Neural Network
by: Tianying Xie, et al.
Published: (2022-01-01)

Enhancing Medical Data Privacy: Neural Network Inference with Fully Homomorphic Encryption
by: Maulyanda Maulyanda, et al.
Published: (2025-04-01)

Homomorphic Consortium Blockchain for Smart Home System Sensitive Data Privacy Preserving
by: Wei She, et al.
Published: (2019-01-01)

FedNIC: enhancing privacy-preserving federated learning via homomorphic encryption offload on SmartNIC
by: Sean Choi, et al.
Published: (2024-10-01)

HeFUN: Homomorphic Encryption for Unconstrained Secure Neural Network Inference
by: Duy Tung Khanh Nguyen, et al.
Published: (2023-12-01)

Research on privacy information retrieval model based on hybrid homomorphic encryption
by: Wei-tao Song, et al.
Published: (2023-12-01)