基于区块链和联邦学习的隐私保护去中心化推荐系统

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关键词：去中心化；联邦学习；隐私保护；推荐系统；区块链

中图分类号：TP309；TP391 文献标志码：A 文章编号：1001-3695（2026）04-005-1005-08

doi：10.19734/j.issn.1001-3695.2025.09.0301

Privacy-preserving decentralized recommendation system based on blockchain and federated learning

Guo Jianlana，Chen Yuqiangb†，Lu Rongʰ，Li Guangchengʰ （a.ColegeofEecocdIfomaiEnein，lfticlell，ognyc，Dogando 523808，China）

Abstract：Withtheoverloadof Intemetinformation，intellgentrecommendationsystems haveemergedandarewidelyused to recommend products，content，and services to specificusers.Yet，thesesystemsrequire large amountsofuserdatato train their models.How to ensure the privacy and securityof user data while maintaining model performance has become a pressing isue.Traditionalrecommendationsystems suferfromproblemssuch asdata sparsity，and sharing rawdata directlyalso can violateuserprivacy.This paper proposedaprivacy-preservingdecentralizedfederated learning recommendationsystem.Itutilized thepeer-to-peer networkandimmutabledatastoragefeaturesofblockchaintoensuredatasecurityandsystemdecentralization.Inthissystem，userdata wasdecomposedintoprivateparameters（containing privacyinformation）andpublicparameters （containing item feature information）through matrix factorization.Users trainedlocally，kepttheir private parameters， andshared onlythepublic parameters，which protected user privacy.Blockchain was introduced tocoordinate the training process，whereitsleaderaggregated local public parametersintoa globalpublic parameter.Users then downloadedandsynchronizedtheseparameterstoconductthenexttraininground.Furthermore，itproposedahigh-performance，low-consumption consensus mechanism basedona dynamicrandomseedalgorithm，andthe model’sprivacy-preserving performance was analyzed.Experimentsshowthatthissystemissuperiortotraditionalcentralizedlearning frameworks intermsofboth privacypro tection and recommendation accuracy，while also offering strong scalability and practical usability.

Key words：decentralization；federated learning；privacy protection；recommendation system；blockchain

0 引言

随着网络技术的飞速发展，信息过载问题日益突出，显著增加了用户获取有效信息的难度。（剩余21979字）