Institutional Repository of Chinese Acad Sci, Inst Automat, Res Ctr Precis Sensing & Control, Beijing 100190, Peoples R China
| A survey on federated learning: challenges and applications | |
Wen, Jie1; Zhang, Zhixia1; Lan, Yang2; Cui, Zhihua2; Cai, Jianghui2; Zhang, Wensheng3
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| Source Publication | INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
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| ISSN | 1868-8071 |
| 2022-11-11 | |
| Pages | 23 |
| Corresponding Author | Cui, Zhihua(cuizhihua@tyustedu.cn) |
| Abstract | Federated learning (FL) is a secure distributed machine learning paradigm that addresses the issue of data silos in building a joint model. Its unique distributed training mode and the advantages of security aggregation mechanism are very suitable for various practical applications with strict privacy requirements. However, with the deployment of FL mode into practical application, some bottlenecks appear in the FL training process, which affects the performance and efficiency of the FL model in practical applications. Therefore, more researchers have paid attention to the challenges of FL and sought for various effective research methods to solve these current bottlenecks. And various research achievements of FL have been made to promote the intelligent development of all application areas with privacy restriction. This paper systematically introduces the current researches in FL from five aspects: the basics knowledge of FL, privacy and security protection mechanisms in FL, communication overhead challenges and heterogeneity problems of FL. Furthermore, we make a comprehensive summary of the research in practical applications and prospect the future research directions of FL. |
| Keyword | Federated learning Machine learning Privacy protection Personalized federated learning |
| DOI | 10.1007/s13042-022-01647-y |
| WOS Keyword | OBJECTIVE EVOLUTIONARY ALGORITHM ; OPTIMIZATION ALGORITHM ; INTRUSION DETECTION ; ENHANCING SECURITY ; BLOCKCHAIN ; FRAMEWORK ; IMAGE ; MODEL ; RECOMMENDATION ; CLASSIFICATION |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Key Research and Development Program of China[2018YFC1604000] ; National Natural Science Foundation of China[61806138] ; National Natural Science Foundation of China[61961160707] ; National Natural Science Foundation of China[61976212] ; Science and Technology Development Foundation of the Central Guiding Local[YDZJSX2021A038] ; China University Industry-University-Research Collaborative Innovation Fund (Future Network Innovation Research and Application Project)[2021FNA04014] ; Outstanding Innovation Project for Graduate Students of Taiyuan University of Science and Technology[XCX211004] ; Outstanding Innovation Project for Graduate Students of Taiyuan University of Science and Technology[XCX212081] |
| Funding Organization | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Science and Technology Development Foundation of the Central Guiding Local ; China University Industry-University-Research Collaborative Innovation Fund (Future Network Innovation Research and Application Project) ; Outstanding Innovation Project for Graduate Students of Taiyuan University of Science and Technology |
| WOS Research Area | Computer Science |
| WOS Subject | Computer Science, Artificial Intelligence |
| WOS ID | WOS:000881886400002 |
| Publisher | SPRINGER HEIDELBERG |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/50685 |
| Collection | 精密感知与控制研究中心_人工智能与机器学习 |
| Corresponding Author | Cui, Zhihua |
| Affiliation | 1.Taiyuan Univ Sci & Technol, Sch Elect Informat Engn, Taiyuan, Peoples R China 2.Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing, Peoples R China |
| Recommended Citation GB/T 7714 | Wen, Jie,Zhang, Zhixia,Lan, Yang,et al. A survey on federated learning: challenges and applications[J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2022:23. |
| APA | Wen, Jie,Zhang, Zhixia,Lan, Yang,Cui, Zhihua,Cai, Jianghui,&Zhang, Wensheng.(2022).A survey on federated learning: challenges and applications.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,23. |
| MLA | Wen, Jie,et al."A survey on federated learning: challenges and applications".INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2022):23. |
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