FFT-GA-BC: a fused federated transformer genetic algorithm framework with blockchain-secured, differentially private, homomorphically encrypted aggregation for mutation, phenotype, and binary-allele analysis
Federated learning enables cross-institutional clinical-genetics analytics without sharing raw patient data; yet, no existing framework integrates the full cryptographic stack–differential privacy, homomorphic encryption, and blockchain auditing—required for regulatory deployment. Here, we present FFT-GA-BC, a secure-b...
Muhammad Umar Nasir, Urva Rehmat, Abdul Khader Jilani Saudagar et al.
· Frontiers in Medicine · 0 citations