Awesome Federated Unlearning (FU) Papers (Continually Update)
☆113Apr 24, 2024Updated 2 years ago
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)☆48Sep 17, 2025Updated last year
- ☆17Feb 17, 2024Updated 2 years ago
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)☆19Sep 29, 2023Updated 3 years ago
- Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023☆29Feb 3, 2023Updated 3 years ago
- [NeurIPS 2024] Official implementation of the paper “Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity"☆30Feb 13, 2026Updated 7 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Existing Literature about Machine Unlearning☆966Aug 29, 2025Updated last year
- ☆25Jan 15, 2025Updated last year
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆23Oct 12, 2023Updated 2 years ago
- ☆41Feb 28, 2025Updated last year
- Contains the source code of our Middleware'24 paper "QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation"☆16Oct 2, 2024Updated 2 years ago
- ☆59Aug 17, 2024Updated 2 years ago
- Code of the AAAI-25 paper☆23May 13, 2025Updated last year
- ☆13Jun 1, 2024Updated 2 years ago
- ☆39Nov 24, 2021Updated 4 years ago
- AI Agents on 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.
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆52May 20, 2022Updated 4 years ago
- ☆205Sep 22, 2023Updated 3 years ago
- The implement of FedCyBGD☆12Jul 19, 2024Updated 2 years ago
- ☆13Jun 17, 2024Updated 2 years ago
- Repository for FedGF☆15Jun 21, 2024Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42May 21, 2021Updated 5 years ago
- 一个gin+vue的前后端分离项目,如果有帮助到您关于gin的学习,可以打赏一杯咖啡~☆13Nov 6, 2020Updated 5 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
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆89Nov 11, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Methods for removing learned data from neural nets and evaluation of those methods☆38Nov 26, 2020Updated 5 years ago
- Official Code of Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers (AAAI 2024)☆20Oct 27, 2024Updated last year
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆2,015Oct 3, 2026Updated last week
- ☆26Dec 15, 2024Updated last year
- Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems☆67May 21, 2025Updated last year
- A resource repository for machine unlearning in large language models☆627Aug 6, 2026Updated 2 months 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
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆104Jul 17, 2025Updated last year
- Official Implementation of FedRCL (CVPR 2024)☆28Jun 6, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆63Updated this week
- Codes for Dual Stealthy Backdoor☆14Feb 10, 2024Updated 2 years ago
- ☆22Jan 25, 2023Updated 3 years ago
- 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'.☆125Aug 7, 2023Updated 3 years ago
- ☆33Dec 9, 2021Updated 4 years ago
- General Federated Continual Learning Framework☆22Jul 11, 2026Updated 2 months ago