FRIMFL: A Fair and Reliable Incentive Mechanism in Federated Learning

FRIMFL: A Fair and Reliable Incentive Mechanism in Federated Learning

Federated learning (FL) enables data owners to collaboratively train a machine learning model without revealing their private data and sharing the global models. Reliable and continuous client participation is essential in FL for building a high-quality global model via the aggregation of local upda...

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Bibliographic Details
Main Authors: Abrar Ahmed , Bong Jun Choi 
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Electronics
Subjects:
federated learning
client selection
reverse auction
incentive mechanism
Online Access:https://www.mdpi.com/2079-9292/12/15/3259

Internet

https://www.mdpi.com/2079-9292/12/15/3259

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