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"FedGCR: Achieving Performance and Fairness for Federated Learning with ..."

Shu-Ling Cheng et al. (2024)

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DOI: 10.1609/AAAI.V38I10.29031

access: open

type: Conference or Workshop Paper

metadata version: 2024-04-02

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  dblp key:
  - conf/aaai/ChengYCPC24
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  - https://dblp.org/rec/conf/aaai/ChengYCPC24
Shu-Ling Cheng, Chin-Yuan Yeh, Ting-An Chen, Eliana Pastor, Ming-Syan Chen:
FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting. AAAI 2024: 11498-11506

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