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May, 2019
移动网络中有效联邦学习的激励设计:合同理论方法
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach
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Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang...
TL;DR
本研究采用合同理论设计一种有效的激励机制,以促进具有高质量(即高准确性)数据的移动设备参加联合学习,并在提高学习准确性的同时,加强数据隐私保护和安全性。
Abstract
To strengthen data privacy and security,
federated learning
as an emerging machine learning technique is proposed to enable large-scale nodes, e.g.,
mobile devices
, to distributedly train and globally share model
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