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Federated Meta-Learning with Attention for Diversity-Aware Human Activity Recognition
Qiang Shen1, Haotian Feng1, Rui Song2
1College of Computer Science and Technology, Jilin University, Changchun 130012, China.
Sensors (Basel, Switzerland)
|February 11, 2023
Summary
This study introduces DivAR, a diversity-aware framework for human activity recognition using federated meta-learning. It addresses privacy concerns and individual data variations for better smart applications.
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2026-06-19T13:39:59.629575+00:00
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