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Federated Learning Hyper-Parameter Tuning from a System Perspective


Nov 24, 2022
Huanle Zhang, Lei Fu, Mi Zhang, Pengfei Hu, Xiuzhen Cheng, Prasant Mohapatra, Xin Liu

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* arXiv admin note: substantial text overlap with arXiv:2110.03061 

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Client Selection in Federated Learning: Principles, Challenges, and Opportunities


Nov 03, 2022
Lei Fu, Huanle Zhang, Ge Gao, Huajie Wang, Mi Zhang, Xin Liu

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STAF: A Spatio-Temporal Attention Fusion Network for Few-shot Video Classification


Dec 08, 2021
Rex Liu, Huanle Zhang, Hamed Pirsiavash, Xin Liu

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Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-Supervised Learning


Oct 24, 2021
Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, Qing Zhao

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Food Science Spectroscopy Model Training: Improving Data Efficiency Using Active Learning and Semi-Supervised Learning


Oct 11, 2021
Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, Qing Zhao

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Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective


Oct 06, 2021
Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia

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Early Mobility Recognition for Intensive Care Unit Patients Using Accelerometers


Jun 28, 2021
Rex Liu, Sarina A Fazio, Huanle Zhang, Albara Ah Ramli, Xin Liu, Jason Yeates Adams

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Towards a Federated Learning Framework for Heterogeneous Devices of Internet of Things


May 31, 2021
Huanle Zhang, Jeonghoon Kim

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Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches


May 12, 2021
Albara Ah Ramli, Huanle Zhang, Jiahui Hou, Rex Liu, Xin Liu, Alina Nicorici, Daniel Aranki, Corey Owens, Poonam Prasad, Craig McDonald, Erik Henricson

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An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence


Mar 29, 2021
Rex Liu, Albara Ah Ramli, Huanle Zhang, Esha Datta, Xin Liu

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