Awesome Federated Unlearning (FU) Papers (Continually Update)
☆112Apr 24, 2024Updated last year
Alternatives and similar repositories for Awesome-Federated-Unlearning
Users that are interested in Awesome-Federated-Unlearning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆45Sep 17, 2025Updated 6 months ago
- ☆17Feb 17, 2024Updated 2 years ago
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)☆18Sep 29, 2023Updated 2 years ago
- Repo on unlearning in FL. FYP22002@HKUCS.☆15Apr 22, 2023Updated 2 years ago
- [NeurIPS 2024] Official implementation of the paper “Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity"☆25Feb 13, 2026Updated last month
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023☆29Feb 3, 2023Updated 3 years ago
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆941Updated this week
- Existing Literature about Machine Unlearning☆958Aug 29, 2025Updated 7 months ago
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆23Oct 12, 2023Updated 2 years ago
- ☆53Aug 17, 2024Updated last year
- ☆37Feb 28, 2025Updated last year
- Code for the paper 'An Information Theoretic Approach to Machine Unlearning'☆24Mar 20, 2025Updated last year
- ☆12Jun 1, 2024Updated last year
- ☆10Jul 22, 2025Updated 8 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆38Nov 24, 2021Updated 4 years ago
- ☆200Sep 22, 2023Updated 2 years ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆30Oct 18, 2023Updated 2 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50May 20, 2022Updated 3 years ago
- ☆13Jun 17, 2024Updated last year
- The implement of FedCyBGD☆12Jul 19, 2024Updated last year
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42May 21, 2021Updated 4 years ago
- Official Code of Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers (AAAI 2024)☆19Oct 27, 2024Updated last year
- Methods for removing learned data from neural nets and evaluation of those methods☆38Nov 26, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆83Nov 11, 2024Updated last year
- Repository for FedGF☆15Jun 21, 2024Updated last year
- ☆25Dec 15, 2024Updated last year
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆1,972Oct 5, 2025Updated 6 months ago
- Official codes for ACM CIKM '24 full paper: Tackling Noisy Clients in Federated Learning with End-to-end Label Correction☆21Feb 21, 2025Updated last year
- Official Implementation of FedRCL (CVPR 2024)☆27Jun 6, 2024Updated last year
- Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems☆66May 21, 2025Updated 10 months ago
- ☆60Jun 17, 2020Updated 5 years ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆105Jul 17, 2025Updated 8 months ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 5 years ago
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆122Aug 7, 2023Updated 2 years ago
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Oct 30, 2023Updated 2 years ago
- ☆33Dec 9, 2021Updated 4 years ago
- A resource repository for machine unlearning in large language models☆561Updated this week
- ☆22Jan 25, 2023Updated 3 years ago
- ☆37Oct 18, 2023Updated 2 years ago