Distribution-Free Fair Federated Learning with Small Samples

no code implementations • 25 Feb 2024 • Qichuan Yin, Junzhou Huang, Huaxiu Yao, Linjun Zhang

As federated learning gains increasing importance in real-world applications due to its capacity for decentralized data training, addressing fairness concerns across demographic groups becomes critically important.

Fairness Federated Learning