A Review of Triangular Core Problem of Recommendation System Based on Federated Learning

Xiao Liu

doi:10.47297/taposatWSP2633-456927.20250608

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A Review of Triangular Core Problem of Recommendation System Based on Federated Learning

Volume 6, Issue 8

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A Review of Triangular Core Problem of Recommendation System Based on Federated Learning
A Review of Triangular Core Problem of Recommendation System Based on Federated Learning
Hainan University, Haikou, Hainan, 570228, China
Vol. 6, Issue 8, Pages: 147-152(2025)
Published：30 August 2025
DOI：10.47297/taposatWSP2633-456927.20250608
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Xiao Liu.A Review of Triangular Core Problem of Recommendation System Based on Federated Learning[J].Theory and Practice of Science and Technology,2025,06(08):147-152.
DOI：

Xiao Liu.A Review of Triangular Core Problem of Recommendation System Based on Federated Learning[J].Theory and Practice of Science and Technology,2025,06(08):147-152. DOI： 10.47297/taposatWSP2633-456927.20250608.

摘要

Abstract

Traditional recommender systems face severe challenges of data privacy protection. Centralized data storage and processing mode can not meet the compliance requirements of General Data Protection Regulation (GDPR)

and there is a significant risk of privacy leakage. Federated learning provides a new solution for recommender systems through the distributed paradigm of "data does not move

model moves"

and federated recommender systems emerge. It is found that the federal recommendation system still faces many challenges in heterogeneity

privacy protection security and system efficiency

and the existing research has not fully revealed the internal relationship between these problems. This paper innovatively constructs a "privacy-effectiveness-efficiency" triangular equilibrium analysis framework

uses systematic literature analysis methods

focuses on analyzing the core problems and internal relations of privacy

effectiveness and efficiency of federated recommendation systems

systematically summarizes the progress and shortcomings of current research

and proposes optimization directions

providing theoretical references for subsequent research.

关键词

Keywords

references

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