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Moreover, the communication costs of transferring all the model parameters for the aggregation stage is critically high. As an alternative approach, parameter-efficient fine-tuning (PEFT) approaches ...

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Abstract: Pre-trained models (PTMs) with parameter-efficient fine-tuning (PEFT) techniques have been extensively utilized in class-incremental learning (CIL) scenarios. However, they still remain ...

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