3 papers
cs.LG2025
FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set
Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel +1
We study a federated classification problem over a network of multiple clients and a central server, in which each client's local data remains private and is subject to uncertainty…
math.OC2025
Data-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach
Heraldo Rozas, Weijun Xie, Nagi Gebraeel +1
This paper investigates the joint optimization of condition-based maintenance and spare provisioning, incorporating insights obtained from sensor data. Prognostic models estimate c…
cs.LG2024
Wasserstein Distributionally Robust Multiclass Support Vector Machine
Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel
We study the problem of multiclass classification for settings where data features and their labels are uncertain. We identify that distributionally robus…