1 citations · 1 across the 2 of their papers we have counts for
2 papers
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…
cs.CV2024★ 1 cited
Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks
Yu Qiao, Apurba Adhikary, Kitae Kim +3
Federated learning (FL) is a distributed training technology that enhances data privacy in mobile edge networks by allowing data owners to collaborate without transmitting raw data…