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IEEE/ICACT20230276 Slide.15        [Big Slide]       [YouTube]	Oral Presentation
	This is the accuracy of the training model when experimenting with the FEDERATED LEARING MODEL In Figure 8, we see that the accuracy when using CNN as a training model is relatively high, with accuracy = 90.41%. This result converges very early from around round = 5. With GRU and LSTM models, until round = 25, these models are converged, and the accuracy result of LSTM is 88.71%, and for the GRU model is 85.67%.

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