scholarly journals Performance Characterization of Deep Learning Models for Breathing-based Authentication on Resource-Constrained Devices

2018 ◽  
Vol 2 (4) ◽  
pp. 1-24 ◽  
Author(s):  
Jagmohan Chauhan ◽  
Jathushan Rajasegaran ◽  
Suranga Seneviratne ◽  
Archan Misra ◽  
Aruna Seneviratne ◽  
...  
Keyword(s):  
Deep Learning ◽  
Learning Models ◽  
Resource Constrained ◽  
Performance Characterization ◽  
Resource Constrained Devices ◽  
Constrained Devices

ROCK-CNN

2021 ◽  
Vol 12 (3) ◽  
pp. 14-31
Author(s):  
Rezeda Khaydarova ◽  
Dmitriy Mouromtsev ◽  
Vladislav Fishchenko ◽  
Vladislav Shmatkov ◽  
Maxim Lapaev ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Convolutional Neural Networks ◽  
Use Cases ◽  
Resource Constrained ◽  
Resource Constrained Devices ◽  
Constrained Devices

The paper is dedicated to distributed convolutional neural networks on a resource constrained devices cluster. The authors focus on requirements that meet the users' needs. Based on this, architecture of the system is proposed. Two use cases of CNN computations on a ROCK-CNN cluster are mentioned, and algorithms for organizing distributed convolutional neural networks are described. Experiments to validate proposed architecture and algorithms for distributed deep learning computations are conducted as well.

SIBSC: Separable Identity-Based Signcryption for Resource-Constrained Devices

Informatica ◽  
2017 ◽  
Vol 28 (1) ◽  
pp. 193-214 ◽  
Author(s):  
Tung-Tso Tsai ◽  
Sen-Shan Huang ◽  
Yuh-Min Tseng
Keyword(s):  
Resource Constrained ◽  
Identity Based ◽  
Resource Constrained Devices ◽  
Constrained Devices
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