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News/Efficient DP-SGD for LLMs with Randomized Clipping
arxiv
PublishedMay 26, 2026 at 4:00 AM

Efficient DP-SGD for LLMs with Randomized Clipping

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arXiv:2605.24879v1 Announce Type: new Abstract: Large language models (LLMs) are trained on vast datasets that may contain sensitive information. Differential privacy (DP), the de facto standard for formal privacy guarantees, provides a principled framework for training LLMs with provable privacy pr

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