Poster 36: Xintong Liu – Comparison of Centralized and Decentralized Features Exchange in Federated Learning

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Faculty mentor: Mingyue Ji

Our research investigates the feasibility of the decentralized features exchange training approach in federated learning in comparison with the centralized approach. We also emphasize on the privacy protection ability of the training model and simulate the training process by using TensorFlow with Keras package.

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Questions or comments? Contact me at: u1068260@utah.edu


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