Fedfa: Federated feature augmentation

T Zhou, E Konukoglu - arXiv preprint arXiv:2301.12995, 2023 - arxiv.org
Federated learning is a distributed paradigm that allows multiple parties to collaboratively
train deep models without exchanging the raw data. However, the data distribution among …
被引用次数：24 相关文章

FedFA: Federated Feature Augmentation

T Zhou, E Konukoglu - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Federated learning is a distributed paradigm that allows multiple parties to collaboratively
train deep models without exchanging the raw data. However, the data distribution among …

FedFA: Federated Feature Augmentation

T Zhou, E Konukoglu - The Eleventh International Conference on Learning … - openreview.net
Federated learning is a distributed paradigm that allows multiple parties to collaboratively
train deep models without exchanging the raw data. However, the data distribution among …

[引用][C] FedFA: Federated Feature Augmentation

T Zhou, E Konukoglu - International Conference on …, 2023 - research-collection.ethz.ch
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