Search Results for author: Huanle Zhang

Found 12 papers, 3 papers with code

Patent Value Characterization -- An Empirical Analysis of Elevator Industry Patents

no code implementations20 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.

Federated Learning Hyper-Parameter Tuning from a System Perspective

1 code implementation24 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.

Federated Learning

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

no code implementations3 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.

Fairness Federated Learning +1

FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective

1 code implementation6 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.

Federated Learning

Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective

no code implementations29 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.

Federated Learning

Early Mobility Recognition for Intensive Care Unit Patients Using Accelerometers

no code implementations28 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.

Feature Engineering Human Activity Recognition

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

no code implementations31 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.

Federated Learning

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

no code implementations12 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.

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

no code implementations29 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.

Feature Engineering Human Activity Recognition +1

Cannot find the paper you are looking for? You can Submit a new open access paper.