4 papers
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…
The Curvature of Regret in Contextual Linear Optimization
Konstantinos Ziliaskopoulos, Alexander Vinel, Alice E. Smith
Decision-focused learning for linear optimization is complicated by the discontinuity of the optimizer, where small cost errors may leave the decision unchanged or move it to a dif…
Decision-Value Attribution in Predict-then-Optimize Systems
Konstantinos Ziliaskopoulos, Alexander Vinel, Alice E. Smith
Predictive models are increasingly embedded in operational decision-making, yet standard explanation methods typically explain forecasts rather than the decisions those forecasts i…
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…