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Federated Learning for IoMT-Enhanced Human Activity Recognition with Hybrid LSTM-GRU Networks
The proliferation of wearable sensors and mobile devices has fueled advancements in human activity recognition (HAR), with growing importance placed on both accuracy and privacy preservation. In this paper, the author proposes a federated learning framework for HAR, leveraging a hybrid Long Short-Te
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