A Survey on Blockchain-Based Federated Learning

IF 2.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Future Internet Pub Date : 2023-12-12 DOI:10.3390/fi15120400

Lang Wu, Weijian Ruan, Jinhui Hu, Yaobin He

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引用次数: 0

Abstract

Federated learning (FL) and blockchains exhibit significant commonality, complementarity, and alignment in various aspects, such as application domains, architectural features, and privacy protection mechanisms. In recent years, there have been notable advancements in combining these two technologies, particularly in data privacy protection, data sharing incentives, and computational performance. Although there are some surveys on blockchain-based federated learning (BFL), these surveys predominantly focus on the BFL framework and its classifications, yet lack in-depth analyses of the pivotal issues addressed by BFL. This work aims to assist researchers in understanding the latest research achievements and development directions in the integration of FL with blockchains. Firstly, we introduced the relevant research in FL and blockchain technology and highlighted the existing shortcomings of FL. Next, we conducted a comparative analysis of existing BFL frameworks, delving into the significant problems in the realm of FL that the combination of blockchain and FL addresses. Finally, we summarized the application prospects of BFL technology in various domains such as the Internet of Things, Industrial Internet of Things, Internet of Vehicles, and healthcare services, as well as the challenges that need to be addressed and future research directions.

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基于区块链的联合学习调查

联盟学习（FL）和区块链在应用领域、架构特点和隐私保护机制等各个方面表现出显著的共性、互补性和一致性。近年来，这两种技术的结合取得了显著进展，特别是在数据隐私保护、数据共享激励和计算性能方面。虽然有一些关于基于区块链的联合学习（BFL）的调查，但这些调查主要集中在 BFL 框架及其分类上，缺乏对 BFL 所解决的关键问题的深入分析。本研究旨在帮助研究人员了解FL与区块链结合的最新研究成果和发展方向。首先，我们介绍了 FL 与区块链技术的相关研究，并强调了 FL 目前存在的不足。其次，我们对现有的 BFL 框架进行了对比分析，深入探讨了区块链与 FL 结合所要解决的 FL 领域的重大问题。最后，我们总结了 BFL 技术在物联网、工业物联网、车联网和医疗服务等各个领域的应用前景，以及需要应对的挑战和未来的研究方向。

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

Future Internet Computer Science-Computer Networks and Communications

CiteScore

7.10

自引率

5.90%

发文量

303

审稿时长

11 weeks

期刊介绍： Future Internet is a scholarly open access journal which provides an advanced forum for science and research concerned with evolution of Internet technologies and related smart systems for “Net-Living” development. The general reference subject is therefore the evolution towards the future internet ecosystem, which is feeding a continuous, intensive, artificial transformation of the lived environment, for a widespread and significant improvement of well-being in all spheres of human life (private, public, professional). Included topics are: • advanced communications network infrastructures • evolution of internet basic services • internet of things • netted peripheral sensors • industrial internet • centralized and distributed data centers • embedded computing • cloud computing • software defined network functions and network virtualization • cloud-let and fog-computing • big data, open data and analytical tools • cyber-physical systems • network and distributed operating systems • web services • semantic structures and related software tools • artificial and augmented intelligence • augmented reality • system interoperability and flexible service composition • smart mission-critical system architectures • smart terminals and applications • pro-sumer tools for application design and development • cyber security compliance • privacy compliance • reliability compliance • dependability compliance • accountability compliance • trust compliance • technical quality of basic services.