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Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning
Privacy-preserving continual learning (PPCL) must reduce the reproduction of sensitive content while retaining useful knowledge across sequential tasks. Formal privacy guarantees characterize randomized mechanisms, whereas operational output control concerns whether a trained model selectively reduc
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