9 citations · 11 across the 4 of their papers we have counts for
4 papers
FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge
Sifat Ut Taki, Arthi Padmanabhan, Spyridon Mastorakis
Edge AI computing boxes are a new class of computing devices that are aimed to revolutionize the AI industry. These compact and robust hardware units bring the power of AI processi…
UnifiedNN: Efficient Neural Network Training on the Cloud
Sifat Ut Taki, Arthi Padmanabhan, Spyridon Mastorakis
Nowadays, cloud-based services are widely favored over the traditional approach of locally training a Neural Network (NN) model. Oftentimes, a cloud service processes multiple requ…
VQPy: An Object-Oriented Approach to Modern Video Analytics
Shan Yu, Zhenting Zhu, Yu Chen +6
Video analytics is widely used in contemporary systems and services. At the forefront of video analytics are video queries that users develop to find objects of particular interest…
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan, Neil Agarwal, Anand Iyer +5
Video analytics pipelines have steadily shifted to edge deployments to reduce bandwidth overheads and privacy violations, but in doing so, face an ever-growing resource tension. Mo…