ADAPTIVE TURKISH FEDERATED RAG ARCHITECTURE FOR LOW-RESOURCE SYSTEMS
This study examines distributed learning approaches aimed at protecting data privacy and QLoRA-based fine-tuning strategies within a mathematical framework and demonstrates that combining RAG-based systems with federated learning and homomorphic encryption creates a secure, decentralized architecture.