Xiao-Li Tang

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...