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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Xiao-Li Tang

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Sep 2026

Robust Bidding Strategies under Censored Feedback for Auction-Based Federated Learning.

Auction-based Federated Learning (AFL) provides a principled framework for incentivizing self-interested data owners (DOs) to participate in collaborative learning initiated by data consumers (DCs) through market mechanisms. A central challenge in AFL is to determine how a budget-constrained DC should bid for data-use...

Xiao-Li Tang, Ying-Peng Tang, Zhuang Qi et al. · 0 citations
Book Open access Aug 2026

A Black Box Optimization-based Bidding Strategy for Data Consumers in Auction-based Federated Learning

Auction-based Federated Learning (AFL) has emerged as a robust paradigm for incentivizing Data Owners (DOs) to contribute their private resources to a global model. However, determining optimal bidding strategies for Data Consumers (DCs) remains a fundamental challenge. Existing approaches typically rely on Reinforceme...

Xiao-Li Tang, Haoran Shi, Han Yu et al. · 0 citations

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