Proceedings

Stakeholder-oriented Decision Support for Auction-based Federated Learning

Xiaoli Tang

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Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 8514-8515.

https://doi.org/10.24963/ijcai.2024/972

Keywords

  • DC: Machine Learning

Abstract

Auction-based federated learning (AFL) is an important area of FL incentive mechanism design. It effectively incentivizes high-quality data owners (DOs) to participate in data consumers' (DCs, i.e., servers') FL training tasks. However, AFL is still evolving, with existing methods primarily addressing optimal DC-DO matching or DC selection problems in monopoly markets. To enhance the practicality of AFL, we introduce stakeholder-oriented decision support in AFL. This facilitates optimal and strategic decision-making for all stakeholders, improving the efficiency and sustainability of the AFL ecosystem.

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