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InfoResearchPeer-reviewed
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
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Summary
TemSR, a framework for time-series source-free unsupervised domain adaptation, is proposed to transfer temporal dependencies to a target domain without access to source data. It uses a masking, recovery and optimization process to generate a source-like distribution, refined by local context-aware regularization and anchor-based recovery diversity maximization. Experiments across seven time-series tasks show it surpasses existing methods that require source-specific pretraining designs.