3 papers
cs.LG2026
FedRSPO+: A Heterogeneity-aware Algorithm for Decision-focused Federated Learning
Konstantinos Ziliaskopoulos, Alexander Vinel, Jiaqi Wang
Decision-focused learning (DFL) trains predictive models for downstream optimization, but existing methods largely assume centralized data. In cross-silo settings, federated learni…
math.OC2026
Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints
Konstantinos Ziliaskopoulos, Alexander Vinel
We consider Decision-Focused Federated Learning (DFFL), a predict-then-optimize setting in which multiple clients collaboratively train predictive models for downstream linear opti…
stat.AP2025
Multi-objective Bayesian optimization for blocking in extreme value analysis and its application in additive manufacturing
Shehzaib Irfan, Nabeel Ahmad, Alexander Vinel +4
Extreme value theory (EVT) is well suited to model extreme events, such as floods, heatwaves, or mechanical failures, which is required for reliability assessment of systems across…