Michele Fontana

Federated learning with multiple, intersectional and multiclass fairness guarantees under performance budgets

FedFairLAB is introduced, a FL method that enforces group, intersectional, and multiclass fairness simultaneously at both the local and global levels and a tunable performance budget allows practitioners to control how much predictive performance can be sacrificed to improve fairness.