Reward-based participant selection for improving federated reinforcement learning

Reward-based participant selection for improving federated reinforcement learning

Federated reinforcement learning (FRL) has recently received a lot of attention in various fields. In FRL systems, the concept of performing more proper actions with better experiences exists, and we focused on this unique characteristic. Motivated by such inherent property of FRL, in this paper, we...

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Bibliographic Details
Main Author:	Woonghee Lee
Format:	Article
Language:	English
Published:	Elsevier 2023-10-01
Series:	ICT Express
Subjects:	Federated learning Reinforcement learning Federated reinforcement learning Participant selection
Online Access:	http://www.sciencedirect.com/science/article/pii/S240595952200131X

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