398 citations · 550 across the 15 of their papers we have counts for
3 papers · 1 filter
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou +3
Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous in recent years. This has led to the generation of large quantities of data in real-time, wh…
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan +2
Reducing the latency variance in machine learning inference is a key requirement in many applications. Variance is harder to control in a cloud deployment in the presence of stragg…
Collage Inference: Using Coded Redundancy for Low Variance Distributed Image Classification
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan +2
MLaaS (ML-as-a-Service) offerings by cloud computing platforms are becoming increasingly popular. Hosting pre-trained machine learning models in the cloud enables elastic scalabili…