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Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement. (arXiv:2201.02410v1 [cs.AI])
Jan. 10, 2022, 2:10 a.m. | Jingwen Zhang, Yuezhou Wu, Rong Pan
cs.LG updates on arXiv.org arxiv.org
Federated learning trains models across devices with distributed data, while
protecting the privacy and obtaining a model similar to that of centralized ML.
A large number of workers with data and computing power are the foundation of
federal learning. However, the inevitable costs prevent self-interested workers
from serving for free. Moreover, due to data isolation, task publishers lack
effective methods to select, evaluate and pay reliable workers with
high-quality data. Therefore, we design an auction-based incentive mechanism
for horizontal federated …
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