Work

Multimodal Feature Fusion Against Poisoning Attacks in Federated Graph Learning

Year: 2025

Type: article

Source: IEEE Transactions on Consumer Electronics

DOI: 10.1109/tce.2025.3599182

Authors: Shengsheng Mu, Ning Lu, Wenbo Shi, Saru Kumari, Kadambri Agarwal, Maazen Alsabaan

Institutions: Northeastern University, Chaudhary Charan Singh University, ABES Engineering College, King Saud University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: 大规模网络下面向隐式路由链路攻击的高效跨域协同防御方法研究, G2961265796, 数据共享融合背景下区块链安全和高效若干关键技术研究, G565522868, G5681310602, G6662347355, G8149036695

OpenAlex ID: W7076051404

FWCI: 0.416

Cites: 27

Cited by: 1

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