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Federated Unlearning: a Perspective of Stability and Fairness
https://arxiv.org/abs/2402.01276
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Hi, thanks for your work. I also agree with the value of LLM unlearning in privacy-preserving since I also work on the unlearning of Federated Learning scenario. However, I just tested a simple case a…
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Hi, yiliu, I notice that you have set the federated unlearning repo private or deleted it, could you please share it again? I am interested in your adahessian optimizer to accelerate local training.
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Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics
https://arxiv.org/abs/2401.05146
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Corrective Machine Unlearning
https://arxiv.org/abs/2402.14015
(This paper studies the interplay between adversarial attacks and machine unlearning).
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![Screenshot (149)](https://github.com/mo-shahab/vershachi-unlearning/assets/98043363/f75e5bf8-0f50-4698-98b5-ad2a11e673f0)
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Dissecting Language Models: Machine Unlearning via Selective Pruning:
https://openreview.net/forum?id=8SPSIfR2e0
Unlearning via Sparse Representations:
https://openreview.net/forum?id=TLBPjECC5D
…
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## Keyword: differential privacy
### State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
- **Authors:** Chaoyu Zhang
- **Subjects:** Cryptography an…
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I found following paper related to unlearning: https://arxiv.org/abs/2302.02069, it deals with unlearning knowledge from local clients in federated KGE setting. :)
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