Federated Learning

Chapter 16: Incentives in federated learning

Rachael Hwee Ling Sim^a; Sebastian Shenghong Tay^a; Xinyi Xu^a; Yehong Zhang^b; Zhaoxuan Wu^a; Xiaoqiang Lin^a; See-Kiong Ng^a; Chuan-Sheng Foo^c; Patrick Jaillet^d; Trong Nghia Hoang^e; Bryan Kian Hsiang Low^a    aNational University of Singapore, Singapore, Singapore^bPeng Cheng Laboratory, Shenzhen, People's Republic of China^cAgency for Science, Technology and Research, Singapore, Singapore^dMassachusetts Institute of Technology, Cambridge, MA, United States^eWashington State University, Pullman, WA, United States

Abstract

This chapter explores incentive schemes that encourage clients to participate in federated learning (FL) and contribute more valuable data. Such schemes are important to enable collaboration in ...