Continual Learning with Diffusion-based Generative Replay for Industrial Streaming Data

arXiv:2406.15766v1 Announce Type: new
Abstract: The Industrial Internet of Things (IIoT) integrates interconnected sensors and devices to support industrial applications, but its dynamic environments pose challenges related to data drift. Considering the limited resources and the need to effectively adapt models to new data distributions, this paper introduces a Continual Learning (CL) approach, i.e., Distillation-based Self-Guidance (DSG), to address challenges presented by industrial streaming data via a novel generative replay mechanism. DSG utilizes knowledge distillation to transfer knowledge from the …

abstract adapt applications arxiv challenges continual cs.lg data devices diffusion drift dynamic environments generative iiot industrial industrial internet of things internet internet of things paper resources sensors streaming streaming data support things type