A novel federated multi-view clustering method for unaligned and incomplete data fusion-Reference-Cited by-同舟云学术

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A novel federated multi-view clustering method for unaligned and incomplete data fusion

Published:2024-08 Issue: Volume:108 Page:102357
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Ren Yazhou^ORCID,Chen Xinyue^ORCID,Xu Jie,Pu Jingyu,Huang Yonghao,Pu Xiaorong,Zhu Ce,Zhu Xiaofeng,Hao Zhifeng,He Lifang

Publisher

Elsevier BV

Reference59 articles.

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

2. Federated optimization in heterogeneous networks;Li,2020

3. Advances and open problems in federated learning;Kairouz;Found. Trends Mach. Learn.,2021

4. Privacy protection in intelligent vehicle networking: A novel federated learning algorithm based on information fusion;Qu;Inf. Fusion,2023

5. Federated learning with non-iid data;Zhao,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Partially shared federated multiview learning;Knowledge-Based Systems;2024-10

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