IEEE/ICACT20230276 Slide.05        [Big Slide]       [YouTube] Oral Presentation
This is the main work flow of this study. Using the input data set is the N-BaIoT dataset. This dataset is collected from real device data. The implementation process, from the initial data, we will conduct preprocessing of the data, then use techniques to select the best attributes, then use as input for classification. And lastly, we will use centralized classification and federated learning classification. Details of each part, I will present in the following slides.

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