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Game of stones: making a decision about economic value of a weight-loss intervention. [PDF]
Lancet Reg Health EurLadapo JA.
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The ongoing impact of policy documents on the pandemic based on the framework of the "4Rs" theory and policy tools: in China. [PDF]
BMC Public HealthWang L +5 more
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A Survey of Incentive Mechanism Design for Federated Learning
IEEE Transactions on Emerging Topics in Computing, 2021Federated learning is promising in enabling large-scale machine learning by massive clients without exposing their raw data. It can not only enable the clients to preserve the privacy information, but also achieve high learning performance.
Yufeng Zhan +5 more
semanticscholar +1 more source
Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction
The Web Conference, 2021Current research on federated learning mainly focuses on joint optimization, improving efficiency and effectiveness, and protecting privacy. However, there are relatively few studies on incentive mechanisms. Most studies fail to consider the fact that if
Jingwen Zhang, Yuezhou Wu, Rong Pan
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A Learning-Based Incentive Mechanism for Federated Learning
IEEE Internet of Things Journal, 2020Internet of Things (IoT) generates large amounts of data at the network edge. Machine learning models are often built on these data, to enable the detection, classification, and prediction of the future events.
Yufeng Zhan +4 more
semanticscholar +1 more source
IEEE Internet of Things Journal, 2019
Federated learning is an emerging machine learning technique that enables distributed model training using local datasets from large-scale nodes, e.g., mobile devices, but shares only model updates without uploading the raw training data.
Jiawen Kang +4 more
semanticscholar +1 more source
Federated learning is an emerging machine learning technique that enables distributed model training using local datasets from large-scale nodes, e.g., mobile devices, but shares only model updates without uploading the raw training data.
Jiawen Kang +4 more
semanticscholar +1 more source
Journal of Health Communication, 2011
This article discusses incentives to help make healthy choices the easy choices for individuals, operating at the levels of the individual, producers and service providers, and governments. Whereas paying individuals directly to be healthier seems to have a limited effect, offering financial incentives through health insurance improves health. Changing
Anderson P +3 more
openaire +5 more sources
This article discusses incentives to help make healthy choices the easy choices for individuals, operating at the levels of the individual, producers and service providers, and governments. Whereas paying individuals directly to be healthier seems to have a limited effect, offering financial incentives through health insurance improves health. Changing
Anderson P +3 more
openaire +5 more sources
FLChain: A Blockchain for Auditable Federated Learning with Trust and Incentive
International Conference on Big Data Computing and Communications, 2019Federated learning (shorted as FL) recently proposed by Google is a privacy-preserving method to integrate distributed data trainers. FL is extremely useful due to its ensuring privacy, lower latency, less power consumption and smarter models, but it ...
Xianglin Bao +4 more
semanticscholar +1 more source