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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.