1. Muhammad Ammad-Ud-Din , Elena Ivannikova , Suleiman A Khan , Were Oyomno , Qiang Fu , Kuan Eeik Tan, and Adrian Flanagan . 2019 . Federated collaborative filtering for privacy-preserving personalized recommendation system. arXiv preprint arXiv:1901.09888 (2019). Muhammad Ammad-Ud-Din, Elena Ivannikova, Suleiman A Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan. 2019. Federated collaborative filtering for privacy-preserving personalized recommendation system. arXiv preprint arXiv:1901.09888 (2019).
2. Thomas Baumhauer , Pascal Schöttle , and Matthias Zeppelzauer . 2020. Machine unlearning: Linear filtration for logit-based classifiers. arXiv preprint arXiv:2002.02730 ( 2020 ). Thomas Baumhauer, Pascal Schöttle, and Matthias Zeppelzauer. 2020. Machine unlearning: Linear filtration for logit-based classifiers. arXiv preprint arXiv:2002.02730 (2020).
3. Machine Unlearning
4. Jonathan Brophy and Daniel Lowd . 2021 . Machine unlearning for random forests . In International Conference on Machine Learning. PMLR, 1092--1104 . Jonathan Brophy and Daniel Lowd. 2021. Machine unlearning for random forests. In International Conference on Machine Learning. PMLR, 1092--1104.
5. Chong Chen , Fei Sun , Min Zhang , and Bolin Ding . 2022. Recommendation Unlearning . arXiv preprint arXiv:2201.06820 ( 2022 ). Chong Chen, Fei Sun, Min Zhang, and Bolin Ding. 2022. Recommendation Unlearning. arXiv preprint arXiv:2201.06820 (2022).