abbottyanginchina / Awesome-Federated-Unlearning
Awesome Federated Unlearning (FU) Papers (Continually Update)
☆89Updated 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
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆37Updated 2 years ago
- Simplified Implementation of FedPAC☆56Updated last year
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆107Updated last month
- Pytorch implementations of some general federated optimization methods.☆41Updated 6 months ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆48Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆86Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆68Updated 6 months ago
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆45Updated 9 months ago
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)☆17Updated last year
- ☆34Updated 3 years ago
- ☆13Updated 3 months ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆88Updated 3 months ago
- ☆48Updated 4 months ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆150Updated 4 months ago
- Federated Learning in CVPR2024☆17Updated 11 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆128Updated last year
- ☆36Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆61Updated 8 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆151Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆70Updated 7 months ago
- ☆29Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆40Updated 4 months ago
- ☆77Updated 3 years ago
- ☆63Updated last year
- ☆38Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆82Updated 9 months ago
- ☆21Updated 3 years ago