Fairness-aware reverse auction-based federated learning

Auction-based Federated Learning (AFL) has garnered significant research attention recently. However, existing methods for AFL data consumers (DCs) primarily focus on improving FL model performance by recruiting DOs with high reputations and low ask prices, disregarding fair treatment for DOs. The c...

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Bibliographic Details
Main Authors: Tang, Xiaoli, Yu, Han
Other Authors: College of Computing and Data Science
Format: Journal Article
Language:English
Published: 2025
Subjects:
Online Access:https://hdl.handle.net/10356/182704