Leveraging decentralized communication for privacy-preserving federated learning in 6G Networks

IF 4.3 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Computer Communications Pub Date : 2025-03-01 Epub Date: 2025-01-28 DOI:10.1016/j.comcom.2025.108072

Rafael Teixeira , Gabriele Baldoni , Mário Antunes , Diogo Gomes , Rui L. Aguiar

引用次数: 0

Abstract

Artificial intelligence (AI) is a fundamental pillar in developing next-generation networks. Federated learning (FL) emerges as a promising solution to address data privacy concerns during AI model training within the network. However, training AI models on user equipment raises challenges regarding battery consumption, unreliable connections, and communication overhead. This paper proposes Zenoh, a data-centric communication middleware, as an alternative to the traditional Message Passing Interface (MPI) for FL applications. Zenoh’s decentralized nature and low communication overhead make it suitable for resource-constrained devices and unreliable network connections. The paper compares Zenoh and MPI in a realistic FL scenario, demonstrating Zenoh’s potential to outperform MPI in terms of flexibility, communication efficiency, and system complexity.

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利用分散通信在6G网络中保护隐私的联邦学习

人工智能（AI）是开发下一代网络的基础支柱。联邦学习（FL）作为解决网络内人工智能模型训练过程中数据隐私问题的有前途的解决方案而出现。然而，在用户设备上训练人工智能模型会带来电池消耗、连接不可靠和通信开销等挑战。本文提出了以数据为中心的通信中间件Zenoh，作为FL应用中传统消息传递接口（MPI）的替代方案。Zenoh的分散性和低通信开销使其适合于资源受限的设备和不可靠的网络连接。本文将Zenoh和MPI在一个现实的FL场景中进行了比较，展示了Zenoh在灵活性、通信效率和系统复杂性方面优于MPI的潜力。

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

Computer Communications 工程技术-电信学

CiteScore

14.10

自引率

5.00%

发文量

397

审稿时长

66 days

期刊介绍： Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today''s computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms. Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications.