machine unlearning - Robuta Search

https://openreview.net/forum?id=6wQKmKiDHw

Fast Federated Machine Unlearning with Nonlinear Functional Theory | OpenReview

Federated machine unlearning (FMU) aims to remove the influence of a specified subset of training data upon request from a trained federated learning model....

machine unlearning functional theory fast federated nonlinear

https://www.kaggle.com/competitions/neurips-2023-machine-unlearning/discussion/454949

NeurIPS 2023 - Machine Unlearning | Kaggle

Erase the influence of requested samples without hurting accuracy

machine unlearning neurips kaggle

https://openreview.net/forum?id=f5o6kWRC0A&referrer=%5Bthe%20profile%20of%20Feng%20Ji%5D(%2Fprofile%3Fid%3D~Feng_Ji2)

Machine Unlearning For Alleviating Negative Transfer In Partial-Set Source-Free Unsupervised Domain...

Source-free Unsupervised Domain Adaptation (SFUDA) aims to adjust a source model trained on a labeled source domain to a related but unlabeled target domain...

machine unlearning negative transfer partial set source