no code implementations • 20 Feb 2024 • Yuhang Guan, Runzheng Wang, Lei Fu, Huanle Zhang
The global patent application count has steadily increased, achieving eight consecutive years of growth. The global patent industry has shown a general trend of expansion.
1 code implementation • 24 Nov 2022 • Huanle Zhang, Lei Fu, Mi Zhang, Pengfei Hu, Xiuzhen Cheng, Prasant Mohapatra, Xin Liu
In this paper, we propose FedTune, an automatic FL hyper-parameter tuning algorithm tailored to applications' diverse system requirements in FL training.
no code implementations • 3 Nov 2022 • Lei Fu, Huanle Zhang, Ge Gao, Mi Zhang, Xin Liu
As a privacy-preserving paradigm for training Machine Learning (ML) models, Federated Learning (FL) has received tremendous attention from both industry and academia.
1 code implementation • 8 Dec 2021 • Rex Liu, Huanle Zhang, Hamed Pirsiavash, Xin Liu
We propose MASTAF, a Model-Agnostic Spatio-Temporal Attention Fusion network for few-shot video classification.
no code implementations • 7 Oct 2021 • Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, Qing Zhao
The past decade witnesses a rapid development in the measurement and monitoring technologies for food science.
1 code implementation • 6 Oct 2021 • Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia
Federated learning (FL) hyper-parameters significantly affect the training overheads in terms of computation time, transmission time, computation load, and transmission load.
no code implementations • 29 Sep 2021 • Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia
Federated Learning (FL) is a distributed model training paradigm that preserves clients' data privacy.
no code implementations • 28 Jun 2021 • Rex Liu, Sarina A Fazio, Huanle Zhang, Albara Ah Ramli, Xin Liu, Jason Yeates Adams
In this paper, we target a new healthcare application of human activity recognition, early mobility recognition for Intensive Care Unit(ICU) patients.
no code implementations • 31 May 2021 • Huanle Zhang, Jeonghoon Kim
Federated Learning (FL) has received a significant amount of attention in the industry and research community due to its capability of keeping data on local devices.
no code implementations • 12 May 2021 • Albara Ah Ramli, Xin Liu, Kelly Berndt, Erica Goude, Jiahui Hou, Lynea B. Kaethler, Rex Liu, Amanda Lopez, Alina Nicorici, Corey Owens, David Rodriguez, Jane Wang, Huanle Zhang, Daniel Aranki, Craig M. McDonald, Erik K. Henricson
We extracted temporospatial gait clinical features (CFs) and applied multiple machine learning (ML) approaches to differentiate between DMD and TD children using extracted temporospatial gait CFs and raw data.
no code implementations • 29 Mar 2021 • Rex Liu, Albara Ah Ramli, Huanle Zhang, Erik Henricson, Xin Liu
With the rapid development of the internet of things (IoT) and artificial intelligence (AI) technologies, human activity recognition (HAR) has been applied in a variety of domains such as security and surveillance, human-robot interaction, and entertainment.
no code implementations • 29 Jun 2020 • Tianbo Gu, Allaukik Abhishek, Hao Fu, Huanle Zhang, Debraj Basu, Prasant Mohapatra
These low-rate attacks are challenging to detect and can persist in the networks.