1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures
Jiacheng Wang, Hongtao Lv, Lei Liu
Traditional Federated Learning (FL) faces significant challenges in terms of efficiency and accuracy, particularly in heterogeneous environments where clients employ diverse model…
cs.GT2023★ 1 cited
Auction Design for Bidders with Ex Post ROI Constraints
Hongtao Lv, Xiaohui Bei, Zhenzhe Zheng +1
Motivated by practical constraints in online advertising, we investigate single-parameter auction design for bidders with constraints on their Return On Investment (ROI) -- a targe…
cs.LG2023
Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach
Shijing Yuan, Hongze Liu, Hongtao Lv +4
Cross-silo federated learning (FL) is a typical FL that enables organizations(e.g., financial or medical entities) to train global models on isolated data. Reasonable incentive is…