MINDFL: Mitigating the Impact of Imbalanced and Noisy-labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection - researchr publication

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Chaoyu Zhang, Ning Wang, Shanghao Shi, Changlai Du, Wenjing Lou, Y. Thomas Hou 0001. MINDFL: Mitigating the Impact of Imbalanced and Noisy-labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection. In IEEE Military Communications Conference, MILCOM 2023, Boston, MA, USA, October 30 - Nov. 3, 2023. pages 331-338, IEEE, 2023. [doi]

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