English(EN) Spruce: Scalable Private Outsourced Retrieval Using Compact Embeddings

Spruce系统为大型文档集合实现更快、更私有的外包检索

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-03 05:19

研究人员开发了Spruce，一个旨在为大型文档集合实现可扩展和私有外包检索的新颖系统。Spruce将数据表示与密码学协议共同设计，在双服务器多方计算下利用紧凑型二进制码和高效的汉明距离计算。与传统方法相比，这种方法显著降低了计算和通信开销，在保持检索质量的同时，速度提高了22.9倍。 AI

影响该系统可以显著提高依赖于外包向量数据库的RAG应用程序的效率和隐私性。

排序理由详细介绍用于私有外包检索的新系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 2 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 详细介绍用于私有外包检索的新系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Yunming Xiao · 2026-09-03 05:19

Spruce：使用紧凑型嵌入的、可扩展的私有外包检索

Retrieval-Augmented Generation (RAG) has made dense retrieval over large document collections a standard building block. Organizations increasingly outsource vector indexes to untrusted clouds, exposing proprietary corpora and user queries. Cryptographic protection is challenging…