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IEEE/ICACT20230276 Slide.12        [Big Slide]       [YouTube]	Oral Presentation
	To evaluate how well our approach discovers abnormal IoT traffic caused by malware We conduct experiments and compare according to the following components: First, For a centralized model: the training data is on the server. The server then conducts the training and testing of the model with that centralized dataset. It does not preserve privacy. Second, For Federated Learning model with Multi-epoch aggregation: we also apply three models, CNN, LSTM, and GRU.

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