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Arxiv
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FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
- FedQUIT is a novel algorithm that enables on-device federated unlearning.
- It uses knowledge distillation to scrub the contribution of data from an FL global model.
- FedQUIT tailors the teacher's output on local data to induce forgetting.
- Experimental results show that FedQUIT outperforms existing methods in forgetting data.
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