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...

ver descrição completa

Detalhes bibliográficos

Autor principal:	Woonghee Lee
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2023-10-01
coleção:	ICT Express
Assuntos:	Federated learning Reinforcement learning Federated reinforcement learning Participant selection
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S240595952200131X
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!