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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Bibliographic Details

Published in:	Mathematics
Main Authors:	Heon-Sung Park, Hyeon-Chang Chu, Min-Kyung Sung, Chaewoon Kim, Jeongwon Lee, Dae-Won Kim, Jaesung Lee
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Subjects:	continual learning replay sparse update on-device edge device
Online Access:	https://www.mdpi.com/2227-7390/13/14/2257