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researcher

K. Gettings

2 papers hereh-index 8144 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CR1
  • cs.DC1

identity via Semantic Scholar / OpenAlex

most citedRIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances

16 citations · 16 across the 1 of their papers we have counts for

collaborators

2 papers

cs.DC2022★ 16 cited

RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances

Baolin Li, Rohan Basu Roy, Tirthak Patel +3

Deep learning model inference is a key service in many businesses and scientific discovery processes. This paper introduces RIBBON, a novel deep learning inference serving system t…

cs.CR2019

Survey of Attacks and Defenses on Edge-Deployed Neural Networks

Mihailo Isakov, Vijay Gadepally, Karen M. Gettings +1

Deep Neural Network (DNN) workloads are quickly moving from datacenters onto edge devices, for latency, privacy, or energy reasons. While datacenter networks can be protected using…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.