3 papers
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.CR2026
Estimating the Social Cost of Corporate Data Breaches
Lina Alkarmi, Armin Sarabi, Mingyan Liu
While the size of a data breach is typically measured by the number of (consumer, customer, or user) records exposed or compromised, its economic impact is generally measured from…
cs.LG2025
When In Doubt, Abstain: The Impact of Abstention on Strategic Classification
Lina Alkarmi, Ziyuan Huang, Mingyan Liu
Algorithmic decision making is increasingly prevalent, but often vulnerable to strategic manipulation by agents seeking a favorable outcome. Prior research has shown that classifie…