most citedFederated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks

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cs.CL2025

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models

Jincheol Jung, Hongju Jeong, Eui-Nam Huh

This study analyzes the performance of domain-specific Large Language Models (LLMs) for the medical field by integrating Retrieval-Augmented Generation (RAG) systems within a feder…