Fully Homomorphic Encryption for Statistical Modeling
cs.CR, stat.CO
Submitted: 2026-10-03
Updated: 2026-10-03
Code: https://github.com/bnaras/homomorpheR
Sources
- A review of homomorphic encryption and software tools for encrypted statistical machine learning
- Communication-Efficient Distributed Estimation and Inference for Cox's Model
- Towards privacy-preserving cooperative control via encrypted distributed optimization
- Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
- Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation
- The OpenCPU System: Towards a Universal Interface for Scientific Computing through Separation of Concerns
- Feasibility of Privacy-Preserving Entity Resolution on Confidential Healthcare Datasets Using Homomorphic Encryption
- FRAG: Toward Federated Vector Database Management for Collaborative and Secure Retrieval-Augmented Generation
Related papers
- SoK: AI-Augmented Binary Reversing
- Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM
- Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages
- Efficient Fuzzy PSI under One-Sided Assumptions
- Sealing the Audit-Runtime Gap for LLM Skills
- Token Composition: A Graph Based on EVM Logs