MINDFL: Mitigating the Impact of Imbalanced and Noisy-labeled Data in Federated Learning with Quality and Fairness-Aware Client SelectionPublished in IEEE Military Communications Conference (MILCOM), 2023C. Zhang, N. Wang, S. Shi, C. Du, W. Lou and Y.T. Hou pdfShare on Twitter Facebook LinkedIn Previous Next