f-FUM: Federated Unlearning via min--max and f-divergence
cs.LG
Submitted: 2026-02-05
Updated: 2026-09-26
Terminology
Sources
- Robust Semi-supervised Learning via $f$-Divergence and $\alpha$-R'enyi Divergence
- Flower: A Friendly Federated Learning Research Framework
- QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation
- Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective
- Attribute-to-Delete: Machine Unlearning via Datamodel Matching
- Generative Adversarial Networks
- Unlearning during Learning: An Efficient Federated Machine Unlearning Method
- BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
- Certified Data Removal from Machine Learning Models
- Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
- An Information Theoretic Evaluation Metric For Strong Unlearning
- Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning
- Forgettable Federated Linear Learning with Certified Data Unlearning
- NoT: Federated Unlearning via Weight Negation
- Towards Unbounded Machine Unlearning
- Subspace based Federated Unlearning
- Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects
- Class-wise Federated Unlearning: Harnessing Active Forgetting with Teacher-Student Memory Generation
- $f$-Divergence Based Classification: Beyond the Use of Cross-Entropy
- Learning to Forget using Hypernetworks
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