33 citations · 54 across the 12 of their papers we have counts for
5 papers · 1 filter
Developing a Resource-Constraint EdgeAI model for Surface Defect Detection
Atah Nuh Mih, Hung Cao, Asfia Kawnine +1
Resource constraints have restricted several EdgeAI applications to machine learning inference approaches, where models are trained on the cloud and deployed to the edge device. Th…
Evaluating Multi-Global Server Architecture for Federated Learning
Asfia Kawnine, Hung Cao, Atah Nuh Mih +1
Federated learning (FL) with a single global server framework is currently a popular approach for training machine learning models on decentralized environment, such as mobile devi…
ECAvg: An Edge-Cloud Collaborative Learning Approach using Averaged Weights
Atah Nuh Mih, Hung Cao, Asfia Kawnine +1
The use of edge devices together with cloud provides a collaborative relationship between both classes of devices where one complements the shortcomings of the other. Resource-cons…
Fostering new Vertical and Horizontal IoT Applications with Intelligence Everywhere
Hung Cao, Monica Wachowicz, Rene Richard +1
Intelligence Everywhere is predicated on the seamless integration of IoT networks transporting a vast amount of data streams through many computing resources across an edge-to-clou…
TransferD2: Automated Defect Detection Approach in Smart Manufacturing using Transfer Learning Techniques
Atah Nuh Mih, Hung Cao, Joshua Pickard +2
Quality assurance is crucial in the smart manufacturing industry as it identifies the presence of defects in finished products before they are shipped out. Modern machine learning…