Federated Analytics and Agents Architecture

IF 0.5 4区物理与天体物理 Q4 PHYSICS, PARTICLES & FIELDS

Physics of Particles and Nuclei Pub Date : 2026-07-20 DOI:10.1134/S1063779626700115

D. E. Namiot

引用次数: 0

Abstract

Federated data analysis is a technology for building distributed data analysis systems where no data is moved from their storage (collection) locations for analysis. This is a data analysis technology that defines a new level of access and transfers analysis and calculations directly to where the data is located. Federated data analysis allows researchers to safely analyze data from different organizations. Restrictions on data access, cybersecurity requirements, and the development of edge device intelligence are all factors that will ensure growing interest in this technology. The paper examines issues of designing the architecture of such systems.

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联邦分析和代理体系结构

联邦数据分析是一种用于构建分布式数据分析系统的技术，在分布式数据分析系统中，不需要从存储（收集）位置移动数据进行分析。这是一种数据分析技术，它定义了一种新的访问级别，并将分析和计算直接传输到数据所在的位置。联邦数据分析允许研究人员安全地分析来自不同组织的数据。对数据访问的限制、网络安全要求和边缘设备智能的发展都是确保人们对该技术越来越感兴趣的因素。本文探讨了此类系统的架构设计问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physics of Particles and Nuclei 物理-物理：粒子与场物理

CiteScore

1.00

自引率

0.00%

发文量

116

审稿时长

6-12 weeks

期刊介绍： The journal Fizika Elementarnykh Chastits i Atomnogo Yadr of the Joint Institute for Nuclear Research (JINR, Dubna) was founded by Academician N.N. Bogolyubov in August 1969. The Editors-in-chief of the journal were Academician N.N. Bogolyubov (1970–1992) and Academician A.M. Baldin (1992–2001). Its English translation, Physics of Particles and Nuclei, appears simultaneously with the original Russian-language edition. Published by leading physicists from the JINR member states, as well as by scientists from other countries, review articles in this journal examine problems of elementary particle physics, nuclear physics, condensed matter physics, experimental data processing, accelerators and related instrumentation ecology and radiology.