Patching in Order : Efficient On-Device Model Fine-Tuning for Multi-DNN Vision Applications

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Computer Science

100
Model Computer Science
100
Application Computer Science
100
Deep Neural Network Computer Science
25
Design Computer Science
25
Correlation Computer Science
25
Workload Computer Science
25
Entropy Computer Science
25
Training Sample Computer Science
25
Computational Cost Computer Science
25
Privacy Concern Computer Science
25
Augmented Reality Computer Science
25
Data Privacy Computer Science
25
Video Surveillance Computer Science
25
Autonomous Vehicles Computer Science
25
Independent Variabl... Computer Science
25
Accuracy Computer Science

Keyphrases

100
Deep Neural Network Keyphrases
100
Vision Application Keyphrases
100
Multi-deep Keyphrases
100
On-device Model Keyphrases
100
Network Vision Keyphrases
75
Edge Devices Keyphrases
25
Adaptation Keyphrases
25
Computational Cost Keyphrases
25
Training Samples Keyphrases
25
Adapter Keyphrases
25
Entropy-based Keyphrases
25
Augmented Reality Keyphrases
25
Parameters Training Keyphrases
25
Video Surveillance Keyphrases
25
Sample Selection Keyphrases
25
Training Parameters Keyphrases
25
Holistically Keyphrases
25
Vision Task Keyphrases
25
Autonomous Vehicles Keyphrases
25
Data Privacy Concer... Keyphrases
25
Correlation-aware Keyphrases
25
Timely Responses Keyphrases
25
Application Demand Keyphrases
25
Computational Workl... Keyphrases
25
Training Epochs Keyphrases
25
On-device Training Keyphrases
25
Mobile Vision Keyphrases
25
Cloud Access Keyphrases
25
Augmented Video Keyphrases

INIS

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applications INIS
100
vision INIS
100
devices INIS
100
neural networks INIS
100
tuning INIS
40
increasing INIS
20
accuracy INIS
20
design INIS
20
comparative evaluat... INIS
20
cost INIS
20
correlations INIS
20
data INIS
20
demand INIS
20
entropy INIS
20
vehicles INIS
20
clouds INIS
20
datasets INIS
20
surveillance INIS
Research OutputsResearch Output authored by Patching in Order is tagged with the concept