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We design federated learning system that explores the similarity of users to improve the model accuracy and communication performance. We collected four new HAR datasets and conducted extensive experiments to show the effectiveness of proposed design.
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This page is a summary of: ClusterFL, June 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3458864.3467681.
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