Alternatives and similar repositories for federated-unlearning:

Users that are interested in federated-unlearning are comparing it to the libraries listed below

• abbottyanginchina / Awesome-Federated-Unlearning
  Awesome Federated Unlearning (FU) Papers (Continually Update)
  ☆88Updated 11 months ago
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆47Updated last year
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆79Updated 2 years ago
• sail-research / fed-unlearn
  An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)
  ☆17Updated last year
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆33Updated 5 months ago
• jeremy313 / FL-WBC
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆39Updated 3 years ago
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 3 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• Liar-Mask / FedAU
  ☆11Updated 2 months ago
• BapFL / code
  Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning
  ☆12Updated last year
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆55Updated last year
• xiyuanyang45 / DynamicPFL
  nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy
  ☆66Updated 6 months ago
• wanglun1996 / secure-robust-federated-learning
  ☆54Updated 2 years ago
• zhmzm / FLTrust_pytorch
  ☆36Updated last year
• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆126Updated last year
• zhmzm / FLAME
  ☆26Updated last year
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆68Updated 5 months ago
• yjlee22 / CyclicAggregation
  PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS
  ☆14Updated last year
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆39Updated 5 months ago
• ksreenivasan / OOD_Federated_Learning
  ☆69Updated 2 years ago
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆142Updated 2 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆55Updated last year
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆43Updated last year
• TinfoilHat0 / Defending-Against-Backdoors-with-Robust-Learning-Rate
  The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
  ☆31Updated 2 years ago
• Chenxing-Xuan / A-series-of-popular-science-in-federated-learning
  ☆60Updated 5 months ago
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆85Updated 2 years ago
• AIoT-MLSys-Lab / FedRolex
  [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…
  ☆62Updated 7 months ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆61Updated 3 years ago
• meng1103 / Federated-Learning-Non-IID
  Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn
  ☆25Updated 4 months ago
• baolongnguyenmac / fl-ml
  This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
  ☆29Updated last year