"MINDFL: Mitigating the Impact of Imbalanced and Noisy-labeled Data in ..."

Chaoyu Zhang et al. (2023)

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DOI: 10.1109/MILCOM58377.2023.10356215

access: closed

type: Conference or Workshop Paper

metadata version: 2025-03-03

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Chaoyu Zhang, Ning Wang, Shanghao Shi, Changlai Du, Wenjing Lou, Y. Thomas Hou:
MINDFL: Mitigating the Impact of Imbalanced and Noisy-labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection. MILCOM 2023: 331-338

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