FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting

Shu-ling Cheng, Chin-yuan Yeh, Ting-an Chen, Eliana Pastor, Ming-syan Chen (2024) FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting, In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 11498-11506, ISBN: 978-1-57735-887-9