Privacy-preserving decentralized federated learning scheme with low communication overhead based on functional encryption
Papers|更新时间:2025-12-25
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Privacy-preserving decentralized federated learning scheme with low communication overhead based on functional encryption
Journal on CommunicationsVol. 46, Issue 11, Pages: 1-16(2025)
作者机构:
1.西安电子科技大学网络与信息安全学院,陕西 西安 710126
2.天津航海仪器研究所,天津 300131
3.新加坡管理大学计算机与信息系统学院,新加坡 188065
作者简介:
基金信息:
The National Natural Science Foundation of China(62372345;U21A20464;62125205;62232013;U23A20303);The Natural Science Basic Research Program of Shaanxi Province(2023-JC-JQ-49)
ZHANG Jinhai,ZHANG Junwei,WANG Yuqing,et al.Privacy-preserving decentralized federated learning scheme with low communication overhead based on functional encryption[J].Journal on Communications,2025,46(11):1-16.
ZHANG Jinhai,ZHANG Junwei,WANG Yuqing,et al.Privacy-preserving decentralized federated learning scheme with low communication overhead based on functional encryption[J].Journal on Communications,2025,46(11):1-16. DOI: 10.11959/j.issn.1000-436x.2025205.
Privacy-preserving decentralized federated learning scheme with low communication overhead based on functional encryption