arxiv
PublishedSeptember 18, 2026 at 4:00 AM
—neutral
MAPLE: Metadata Augmented Private Language Evolution
Publisher summary· verbatim
arXiv:2603.19258v3 Announce Type: replace-cross Abstract: Differentially private (DP) fine-tuning of large language models (LLMs) requires massive compute and full model access, which rules out state-of-the-art proprietary APIs for general users. Generating DP synthetic data offers a practical worka
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Originally published on arxiv ↗