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Double Perturbation-Based Privacy-Preserving Federated Learning against Inference Attack

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Year: 2022
Type: conference-paper
Source: Globecom
DOI: 10.1109/globecom48099.2022.10001075
Authors: Yongqi Jiang, Yanhang Shi, Siguang Chen
Institution: Nanjing University of Posts and Telecommunications
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, China Postdoctoral Science Foundation, Jiangsu Planned Projects for Postdoctoral Research Funds
Awards: 面向高效数据收集的安全压缩融合与智能计算迁移研究, G6931703010, G7651821026
OpenAlex ID: W4320029298
FWCI: 0.415
Cites: 24
Cited by: 3
Related to: 10
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