3 citations · 9 across the 8 of their papers we have counts for
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cs.AI2023★ 2 cited
Multi-Session Budget Optimization for Forward Auction-based Federated Learning
Xiaoli Tang, Han Yu
Auction-based Federated Learning (AFL) has emerged as an important research field in recent years. The prevailing strategies for FL model users (MUs) assume that the entire team of…
cs.LG2023
Hierarchical Federated Learning Incentivization for Gas Usage Estimation
Has Sun, Xiaoli Tang, Chengyi Yang +5
Accurately estimating gas usage is essential for the efficient functioning of gas distribution networks and saving operational costs. Traditional methods rely on centralized data p…
cs.LG2023★ 1 cited
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
Xiaoli Tang, Han Yu
Auction-based Federated Learning (AFL) has attracted extensive research interest due to its ability to motivate data owners to join FL through economic means. Existing works assume…