CHENG, S.-L.; YEH, C.-Y.; CHEN, T.-A.; PASTOR, E.; CHEN, M.-S. FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting. Proceedings of the AAAI Conference on Artificial Intelligence, [S. l.], v. 38, n. 10, p. 11498-11506, 2024. DOI: 10.1609/aaai.v38i10.29031. Disponível em: https://ojs.aaai.org/index.php/AAAI/article/view/29031. Acesso em: 26 nov. 2024.