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This paper proposes OSPDIM, a source-free online unsupervised domain adaptation framework for EEG-based BCIs that corrects geometric misalignment caused by class-imbalanced label shifts on the Riemannian manifold, outperforming standard alignment methods in online scenarios.
本文介绍了SPACE,这是首个面向多模态大语言模型(MLLMs)的无源遗忘框架,它利用文本引导的代理锚点选择和双约束语义隔离来擦除目标概念,无需访问原始训练数据,实现了与依赖数据的方法相当的性能。