Efficient and fair data valuation for horizontal federated learning

• المؤلفون الرئيسيون: WEI, Shuyue, TONG, Yongxin, ZHOU, Zimu, SONG, Tianshu
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2020
• الموضوعات: Federated learning; Data valuation; Incentive mechanism; Shapley value; Databases and Information Systems; Data Science
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/10125; https://ink.library.smu.edu.sg/context/sis_research/article/11126/viewcontent/Efficient_and_Fair_Data.pdf
• المؤسسة: Singapore Management University

Availability of big data is crucial for modern machine learning applications and services. Federated learning is an emerging paradigm to unite different data owners for machine learning on massive data sets without worrying about data privacy. Yet data owners may still be reluctant to contribute unl...