src_fb50be84b835134c75
- Source-provided label
- Not reported
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Oct 07, 2026 04:00 UTC
- Retrieved
- Oct 08, 2026 03:43 UTC
Secure Speculative Decoding for Large Language Models
arXiv:2610.08678v1 Announce Type: new Abstract: Speculative decoding accelerates inference for a large language model (LLM), referred to as the \emph{target model}, by first using a smaller model, referred to as the \emph{draft model}, to generate candidate tokens and then verifying them with the target model for acceptance or rejection. Prior studies primarily focused on the efficiency-utility tr
Reference details
- Source category
- Research & news
- Report title
Secure Speculative Decoding for Large Language Models- First reported
- Oct 07, 2026 04:00 UTC
- Last reported
- Oct 07, 2026 04:00 UTC
- Catalog updated
- Oct 08, 2026 03:43 UTC
- Record ID
0f23092a2c9e9100050d9bf75ea52d771b9440e44e8850407b6fc6b8f2eb1ad6
Published indicators
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Source observations
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Review source update dates and status
- src_fb50be84b835134c75Collection status unverifiedLast successful batch: Unverified
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