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 maintaining privacy.Here, we present a learning-augmented ver