Alycia Carey

Achieving Distributive Justice in Federated Learning via Uncertainty Quantification

2025 · arXiv (Cornell University)

Client-level fairness metrics for federated learning are used to ensure that all clients in a federation either: a) have similar final performance on their local data distributions (i.e., client parity), or b) obtain final performance …