Privacy-preserving graph convolution network for federated item recommendation

Author:

Hu Pengqing,Lin ZhaohaoORCID,Pan Weike,Yang Qiang,Peng Xiaogang,Ming Zhong

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference43 articles.

1. Federated machine learning: concept and applications;Yang;ACM Trans. Intell. Syst. Technol.,2019

2. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

3. Survey of recommender systems based on federated learning;Liang;Sci. Sin. Inf.,2022

4. A generic federated recommendation framework via fake marks and secret sharing;Zhaohao;ACM Trans. Inf. Syst.,2022

5. LightGCN: simplifying and powering graph convolution network for recommendation;He,2020

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