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Noise-Aware Shrinkage for Differentially Private Zeroth-Order Fine-Tuning of Large Language Models
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers proposed SAGE, a noise-aware shrinkage method improving differentially private zeroth-order fine-tuning memory efficiency and utility.
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