The paper combines LLM-guided update weighting, selective SMC, and adversarial training for federated learning, claiming a 15% robustness gain without presenting the underlying experiment.
Enhancing thyroid disease prediction using machine learning: A comparative study of ensemble models and class balancing techniques,
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Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models
The paper combines LLM-guided update weighting, selective SMC, and adversarial training for federated learning, claiming a 15% robustness gain without presenting the underlying experiment.