Cover Image

Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Omar, Abdullah Al, Yang, Xin, Choo, Euijin, Ardakanian, Omid
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning
by: Wu, Jiahui, et al.
Published: (2025)

Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption
by: Guo, Yuqi, et al.
Published: (2024)

PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks
by: Yang, Xin, et al.
Published: (2024)

Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
by: Costa, Ivan, et al.
Published: (2026)

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation
by: Yang, Xin, et al.
Published: (2025)

Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption
by: Ma, Jing, et al.
Published: (2021)

Experimental Evaluation of Post-Quantum Homomorphic Encryption for Privacy-Preserving I2I Communication in ITS
by: Mamun, Abdullah Al, et al.
Published: (2025)

Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption
by: Gao, Yang, et al.
Published: (2026)

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
by: Jin, Weizhao, et al.
Published: (2023)

A Privacy-Preserving Federated Learning Method with Homomorphic Encryption in Omics Data
by: Negoya, Yusaku, et al.
Published: (2025)

Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption
by: Lai, Zhizheng, et al.
Published: (2024)

Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI
by: Amin, Al, et al.
Published: (2025)

Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning
by: Lee, Hunjae "Timothy", et al.
Published: (2023)

PP-STAT: An Efficient Privacy-Preserving Statistical Analysis Framework using Homomorphic Encryption
by: Choi, Hyunmin
Published: (2025)

Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
by: Jiang, Siyang, et al.
Published: (2024)

Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks
by: Manh, Bui Duc, et al.
Published: (2024)

Activate Me!: Designing Efficient Activation Functions for Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
by: Njungle, Nges Brian, et al.
Published: (2025)

On the Feasibility of Hybrid Homomorphic Encryption for Intelligent Transportation Systems
by: Yates, Kyle, et al.
Published: (2026)

FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users
by: Rahulamathavan, Yogachandran, et al.
Published: (2023)

Improving Efficiency in Federated Learning with Optimized Homomorphic Encryption
by: Yang, Feiran
Published: (2025)

Privacy-Preserving Diffusion Model Using Homomorphic Encryption
by: Chen, Yaojian, et al.
Published: (2024)

A Pervasive, Efficient and Private Future: Realizing Privacy-Preserving Machine Learning Through Hybrid Homomorphic Encryption
by: Nguyen, Khoa, et al.
Published: (2024)

GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
by: Frimpong, Eugene, et al.
Published: (2024)

Verifiability and Privacy in Federated Learning through Context-Hiding Multi-Key Homomorphic Authenticators
by: Bottoni, Simone, et al.
Published: (2025)

Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
by: Baykara, Cem Ata, et al.
Published: (2024)

HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
by: Lee, Seewoo, et al.
Published: (2024)

HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge
by: Chan, Yu Hin, et al.
Published: (2025)

Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics
by: Sarraf, Gaurav, et al.
Published: (2026)

Blockchain-Integrated Privacy-Preserving Medical Insurance Claim Processing Using Homomorphic Encryption
by: Mamoria, Diya, et al.
Published: (2025)

Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings
by: Arazzi, Marco, et al.
Published: (2025)

Outsourced Privacy-Preserving Feature Selection Based on Fully Homomorphic Encryption
by: Wakiyama, Koki, et al.
Published: (2025)

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption
by: Chowdhury, Moontaha Nishat, et al.
Published: (2025)

FHEON: A Configurable Framework for Developing Privacy-Preserving Neural Networks Using Homomorphic Encryption
by: Njungle, Nges Brian, et al.
Published: (2025)

FLSSM: A Federated Learning Storage Security Model with Homomorphic Encryption
by: Li, Yang, et al.
Published: (2025)

Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption
by: Manh, Bui Duc, et al.
Published: (2024)

Secure Aggregation in Federated Learning using Multiparty Homomorphic Encryption
by: Hosseini, Erfan, et al.
Published: (2025)

BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
by: Gronberg, Evan, et al.
Published: (2025)

Encrypted Federated Search Using Homomorphic Encryption
by: Rathod, Om, et al.
Published: (2025)

Multimodal Privacy-Preserving Entity Resolution with Fully Homomorphic Encryption
by: Roy, Susim, et al.
Published: (2026)

Comparison of Fully Homomorphic Encryption and Garbled Circuit Techniques in Privacy-Preserving Machine Learning Inference
by: Cheerla, Kalyan, et al.
Published: (2025)