Federated fairness-aware classification under differential privacy

Federated fairness-aware classification under differential privacy explores A novel algorithm for federated classification that simultaneously ensures privacy and fairness, with theoretical guarantees and experimental validation.. Commercial viability score: 4/10 in Privacy-Preserving ML.