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ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition.

, , , , , and . IEEE J. Biomed. Health Informatics, 27 (8): 3900-3911 (August 2023)

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FreqSense: Adaptive Sampling Rates for Sensor-Based Human Activity Recognition Under Tunable Computational Budgets., , , , , and . IEEE J. Biomed. Health Informatics, 27 (12): 5791-5802 (December 2023)Plug-and-play multi-dimensional attention module for accurate Human Activity Recognition., , , , , and . Comput. Networks, (2024)Learn From Others and Be Yourself in Federated Human Activity Recognition via Attention-Based Pairwise Collaborations., , , , , and . IEEE Trans. Instrum. Meas., (2024)An automatic network structure search via channel pruning for accelerating human activity inference on mobile devices., , , , , and . Expert Syst. Appl., 238 (Part E): 122180 (March 2024)A Collaborative Compression Scheme for Fast Activity Recognition on Mobile Devices via Global Compression Ratio Decision., , , , , and . IEEE Trans. Mob. Comput., 23 (4): 3259-3273 (April 2024)Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition., , , , and . Knowl. Based Syst., (2023)Dynamic Inference via Localizing Semantic Intervals in Sensor Data for Budget-Tunable Activity Recognition., , , , and . IEEE Trans. Ind. Informatics, 20 (3): 3801-3813 (March 2024)ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition., , , , , and . IEEE J. Biomed. Health Informatics, 27 (8): 3900-3911 (August 2023)