A federated learning method based on class prototype guided classifier for long-tailed data

Author:

Li Yang,Liu Xin,Li Kan

Funder

Yang Li

Kan Li

Publisher

Springer Science and Business Media LLC

Reference32 articles.

1. McMahan, B., Moore, E., et al.: Communication-efficient learning of deep networks from decentralized data. In: AISTATS, pp. 1273–1282 (2017)

2. Huang, Y., Giledereli, B., et al.: Balancing methods for multi-label text classification with long-tailed class distribution. In: EMNLP, pp. 8153–8161 (2021)

3. Wu, N., Yu, L., et al.: Fediic: towards robust federated learning for class-imbalanced medical image classification. In: Medical Image Computing and Computer Assisted Intervention, pp. 692–702 (2023)

4. Thrasher, J., Devkota, A., et al.: Multimodal Federated Learning in Healthcare: a review. arXiv:2310.09650 (2023)

5. Xiao, Z., Chen, Z., et al.: Fedloge: joint local and generic federated learning under long-tailed data. In: International Conference on Learning Representations (2024)

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