---
id: 20260617-T0-08
title: "CONCORD：文档隔离下的设备-云端异步稀疏聚合RAG"
title_en: "CONCORD: Asynchronous Sparse Aggregation for Device-Cloud RAG under Document Isolation"
url: https://ai.daily.yangsir.net/daily/20260617-T0-08
issue_date: 2026-06-17
publish_date: 2026-06-16T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2606.15179
---

# CONCORD：文档隔离下的设备-云端异步稀疏聚合RAG

研究人员提出CONCORD新框架，解决了边缘设备与云端协同推理中的文档隔离问题。该技术通过异步稀疏聚合机制，使小型设备能够安全地利用云端知识库，同时保持数据隐私。测试显示，CONCORD在保证96%检索准确率的同时，将通信带宽需求降低60%。这一突破将推动AI在隐私敏感场景的应用，如医疗诊断和金融分析。

## English Version

**CONCORD: Asynchronous Sparse Aggregation for Device-Cloud RAG under Document Isolation**

Researchers propose CONCORD, a new framework addressing document isolation in device-cloud collaborative inference. The technology uses asynchronous sparse aggregation to enable edge devices to securely leverage cloud knowledge bases while maintaining data privacy. Tests show CONCORD achieves 96% retrieval accuracy while reducing communication bandwidth needs by 60%. This breakthrough will advance AI applications in privacy-sensitive areas like healthcare and finance.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2606.15179)

**详情页**：https://ai.daily.yangsir.net/daily/20260617-T0-08

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