DFHelper: Help clients to participate in federated learning tasks

doi:10.1007/s10489-022-04081-3

科研成果详情

题名	DFHelper: Help clients to participate in federated learning tasks
作者	Wu，Zhenhao 1,2; Gao，Jianbo 1,2; Zhang，Jiashuo 1,2; Li，Yue 1,2; Li，Qingshan 1,2; Guan，Zhi 3; Chen，Zhong 1,2
发表日期	2023-05-01
发表期刊	Applied Intelligence
ISSN/eISSN	0924-669X
卷号	53 期号:10 页码:12749-12773
摘要	Federated learning is widely researched due to its strength in broking data islands. In federated learning, data belonging to clients is no longer uploaded to a central server, which brings a great positive influence to privacy protection and data cooperation. However, federated learning also has higher requirements that a client should locally train a model on his own data. Some clients are unwilling to participate in federated learning due to insufficient computing resources or potential economic risks. To encourage all devices to take part in federated learning, we develop a tool DFHelper based on the combination of cloud and edge computing. First, DFHelper provides a collaborative computing service for powerless clients. Through this service, powerless clients can upload their data to nearby edge nodes according to the arrangement of cloud computing. Different edge nodes are responsible for different processes in model training, and the backup mechanism ensures the rights of powerless clients. Second, DFHelper also provides an incentive mechanism for all participating roles, including task publisher, powerful clients, powerless clients, and edge nodes. This incentive mechanism calculates the rewards based on contributions. Numerical results about collaborative computing and incentive mechanism show that DFHelper can relieve the computing pressure of powerless clients and bring reasonable rewards for all roles in federated learning.
关键词	Cloud computing Collaborative computing Edge computing Federated learning Incentive mechanism
DOI	10.1007/s10489-022-04081-3
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85139201021
引用统计
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/13461
专题	个人在本单位外知识产出
通讯作者	Gao，Jianbo
作者单位	1.Key Laboratory of High Confidence Software Technologies (Peking University),MoE,Beijing,China 2.School of Computer Science,Peking University,Beijing,China 3.National Engineering Research Center for Software Engineering,Peking University,Beijing,China
推荐引用方式 GB/T 7714	Wu，Zhenhao,Gao，Jianbo,Zhang，Jiashuoet al. DFHelper: Help clients to participate in federated learning tasks[J]. Applied Intelligence, 2023, 53(10): 12749-12773.
APA	Wu，Zhenhao., Gao，Jianbo., Zhang，Jiashuo., Li，Yue., Li，Qingshan., .. & Chen，Zhong. (2023). DFHelper: Help clients to participate in federated learning tasks. Applied Intelligence, 53(10), 12749-12773.
MLA	Wu，Zhenhao,et al."DFHelper: Help clients to participate in federated learning tasks". Applied Intelligence 53.10(2023): 12749-12773.