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cs.GT2026
Understanding Federated Learning Through the Lens of Mechanism Design: The Role of Data Heterogeneity
Lina Alkarmi, Po-Yen Chen, Mingyan Liu
Federated learning (FL) requires effective incentive mechanisms to motivate data sharing and prevent strategic free-riding. Recent FL mechanisms such as the Shapley value mechanism…
cs.LG2026
Sequential Strategic Classification with Multi-Stage Selective Classifiers
Ziyuan Huang, Lina Alkarmi, Mingyan Liu
Strategic classification studies the problem where self-interested individuals or agents manipulate their response to obtain favorable decision outcomes made by classifiers, typica…
cs.LG2026
Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics
Ziyuan Huang, Lina Alkarmi, Mingyan Liu
Strategic classification studies the problem where self-interested individuals or agents manipulate their response to obtain favorable decision outcomes made by classifiers, typica…