Enhancing sports image data classification in federated learning through genetic algorithm-based optimization of base architecture
Nowadays, federated learning is one of the most prominent choices for making decisions. A significant benefit of federated learning is that, unlike deep learning, it is not necessary to share data samples with the model owner. The weight of the global model in traditional federated learning is creat...
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Veröffentlicht in: | PloS one 2024-07, Vol.19 (7), p.e0303462 |
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