Privacy-Preserving Reinforcement Learning Using Homomorphic Encryption in Cloud Computing Infrastructures

Privacy-Preserving Reinforcement Learning Using Homomorphic Encryption in Cloud Computing Infrastructures

Reinforcement learning (RL) is a learning technique that enables state-dependent learning through feedback from an environment and makes an action decision for maximizing a reward without prior knowledge of the environment. If these RL techniques are used for data-centric services running on cloud c...

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Bibliographic Details
Main Authors: Jaehyoung Park, Dong Seong Kim, Hyuk Lim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Privacy preserving
homomorphic encryption
reinforcement learning
Q-learning
Online Access:https://ieeexplore.ieee.org/document/9252957/

Internet

https://ieeexplore.ieee.org/document/9252957/

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