68 citations · 92 across the 8 of their papers we have counts for
9 papers
Federated Learning Hyper-Parameter Tuning from a System Perspective
Huanle Zhang, Lei Fu, Mi Zhang +4
Federated learning (FL) is a distributed model training paradigm that preserves clients' data privacy. It has gained tremendous attention from both academia and industry. FL hyper-…
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Lei Fu, Huanle Zhang, Ge Gao +2
As a privacy-preserving paradigm for training Machine Learning (ML) models, Federated Learning (FL) has received tremendous attention from both industry and academia. In a typical…
Incentivizing Data Contribution in Cross-Silo Federated Learning
Chao Huang, Shuqi Ke, Charles Kamhoua +2
In cross-silo federated learning, clients (e.g., organizations) train a shared global model using local data. However, due to privacy concerns, the clients may not contribute enoug…
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification
Rex Liu, Huanle Zhang, Hamed Pirsiavash +1
We propose MASTAF, a Model-Agnostic Spatio-Temporal Attention Fusion network for few-shot video classification. MASTAF takes input from a general video spatial and temporal represe…
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-Supervised Learning
Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui +3
The past decade witnesses a rapid development in the measurement and monitoring technologies for food science. Among these technologies, spectroscopy has been widely used for the a…
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective
Huanle Zhang, Mi Zhang, Xin Liu +2
Federated learning (FL) hyper-parameters significantly affect the training overheads in terms of computation time, transmission time, computation load, and transmission load. Howev…
Early Mobility Recognition for Intensive Care Unit Patients Using Accelerometers
Rex Liu, Sarina A Fazio, Huanle Zhang +3
With the development of the Internet of Things(IoT) and Artificial Intelligence(AI) technologies, human activity recognition has enabled various applications, such as smart homes a…
Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches
Albara Ah Ramli, Xin Liu, Kelly Berndt +13
Differences in gait patterns of children with Duchenne muscular dystrophy (DMD) and typically-developing (TD) peers are visible to the eye, but quantifications of those differences…
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence
Rex Liu, Albara Ah Ramli, Huanle Zhang +2
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…