19 citations · 26 across the 4 of their papers we have counts for
6 papers
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems
Ramyad Hadidi, Jiashen Cao, Hyesoon Kim
The increasing interest in serverless computation and ubiquitous wireless networks has led to numerous connected devices in our surroundings. Among such devices, IoT devices have a…
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning
Jiashen Cao, Ramyad Hadidi, Joy Arulraj +1
To efficiently process visual data at scale, researchers have proposed two techniques for lowering the computational overhead associated with the underlying deep learning models. T…
Reducing Inference Latency with Concurrent Architectures for Image Recognition
Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo +1
Satisfying the high computation demand of modern deep learning architectures is challenging for achieving low inference latency. The current approaches in decreasing latency only i…
LCP: A Low-Communication Parallelization Method for Fast Neural Network Inference in Image Recognition
Ramyad Hadidi, Bahar Asgari, Jiashen Cao +6
Deep neural networks (DNNs) have inspired new studies in myriad edge applications with robots, autonomous agents, and Internet-of-things (IoT) devices. However, performing inferenc…
Collaborative Execution of Deep Neural Networks on Internet of Things Devices
Ramyad Hadidi, Jiashen Cao, Micheal S. Ryoo +1
With recent advancements in deep neural networks (DNNs), we are able to solve traditionally challenging problems. Since DNNs are compute intensive, consumers, to deploy a service,…
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices
Ramyad Hadidi, Jiashen Cao, Matthew Woodward +2
The prevalence of Internet of things (IoT) devices and abundance of sensor data has created an increase in real-time data processing such as recognition of speech, image, and video…