FedFair-100

The 'FedFair-100' dataset/benchmark is used to evaluate the fairness of federated learning algorithms across heterogeneous data distributions while ensuring privacy.

Papers using FedFair-100 (1)

Privacy-Preserving Federated Learning with Verifiable Fairness Guarantees2026