vicw0ng-hk / feulLinks
Repo on unlearning in FL. FYP22002@HKUCS.
☆14Updated 2 years ago
Alternatives and similar repositories for feul
Users that are interested in feul are comparing it to the libraries listed below
Sorting:
- ☆19Updated 4 years ago
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆43Updated 2 months ago
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆106Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆54Updated last month
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)☆17Updated 2 years ago
- Simplified Implementation of FedPAC☆60Updated last year
- ☆24Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Updated 5 years ago
- A curated repository for various papers in the domain of split learning.☆54Updated last year
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆31Updated last month
- ☆43Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆70Updated last year
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆75Updated last year
- Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"☆33Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆37Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated last year
- ☆51Updated 11 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆59Updated 11 months ago
- For distributed machine learning☆29Updated 2 months ago
- ☆38Updated 4 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆56Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆69Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- ☆15Updated 4 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆30Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆166Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆22Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year