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IEEE/ICACT20230276 Slide.04        [Big Slide]       [YouTube]	Oral Presentation
	Some of our main contributions in this study. First, using feature selection and feature engineering techniques to choose best features for training the model. Second, compare the effectiveness of the federated learning (FL) model with traditional deep learning model with the goal of identifying abnormal traffics in IoT networks; Third, deploying and comparing deep learning models such as CNN (convolutional neural network), LSTM (Long short-term memory), and GRU (Gated recurrent unit) in the FL model to assess compatibility and select the suitable model for the FL approach .

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