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Survey on Replay-Based Continual Learning and Empirical Validation on Feasibility in Diverse Edge Devices Using a Representative Method

The goal of on-device continual learning is to enable models to adapt to streaming data without forgetting previously acquired knowledge, even with limited computational resources and memory constraints. Recent research has demonstrated that weighted regularization-based methods are constrained by i...

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Principais autores: Heon-Sung Park, Hyeon-Chang Chu, Min-Kyung Sung, Chaewoon Kim, Jeongwon Lee, Dae-Won Kim, Jaesung Lee
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-07-01
coleção:Mathematics
Assuntos:
continual learning
replay
sparse update
on-device
edge device
Acesso em linha:https://www.mdpi.com/2227-7390/13/14/2257
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