RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems

RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems

Due to their high computational and memory demand, deep learning applications are mainly restricted to high-performance units, e.g., cloud and edge servers. Particularly, in Internet of Things (IoT) systems, the data acquired by pervasive devices is sent to the computing servers for classification....

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Bibliographic Details
Main Authors: Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
IoT devices
distributed DNN
privacy
white-box
resource constraints
DQN
Online Access:https://ieeexplore.ieee.org/document/9393904/

Internet

https://ieeexplore.ieee.org/document/9393904/

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