Learning-augmented sketching offers improved performance for privacy preserving and secure GWAS
Summary: Trusted execution environments (TEEs), such as Intel SGX, enable secure, privacy-preserving computations but may have computational resource constraints. To address this, methods like SkSES use sketching for genome-wide association studies (GWAS) across distributed datasets while maintainin...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
|
| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004225002718 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|