Alternatives and similar repositories for Awesome-Federated-Unlearning

Users that are interested in Awesome-Federated-Unlearning are comparing it to the libraries listed below

• IBM / federated-unlearning
  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
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆70Updated last year
• zj-jayzhang / DENSE
  Official PyTorch implementation of DENSE (NeurIPS 2022)
  ☆30Updated 2 years ago
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆60Updated last year
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆89Updated 2 years ago
• lishenghui / awesome-fm-fl
  ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning
  ☆137Updated last week
• marswhu / HFL_Survey
  Heterogeneous Federated Learning: State-of-the-art and Research Challenges
  ☆165Updated 10 months ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆165Updated 3 years ago
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆54Updated last month
• haopr / MMFL
  This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).
  ☆68Updated last year
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆150Updated 3 years ago
• cugzj / KT-pFL
  ☆33Updated 3 years ago
• vicw0ng-hk / feul
  Repo on unlearning in FL. FYP22002@HKUCS.
  ☆14Updated 2 years ago
• usc-sail / fed-multimodal
  [KDD 2023] FedMultimodal
  ☆121Updated 5 months ago
• lianziqt / CFeD
  ☆22Updated 3 years ago
• sail-research / fed-unlearn
  An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)
  ☆17Updated 2 years ago
• zhmzm / FLTrust_pytorch
  ☆39Updated last year
• longtanle / awesome-federated-LLM-learning
  This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…
  ☆101Updated 4 months ago
• bytedance / FedDecorr
  [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…
  ☆68Updated 2 years ago
• zhmzm / FLAME
  ☆34Updated last year
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆84Updated 2 years ago
• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆132Updated 2 years ago
• epfml / federated-learning-public-code
  ☆161Updated 2 years ago
• FangXiuwen / Robust_FL
  ☆51Updated 10 months ago
• alessiomora / unlearning_fl
  ☆17Updated last year
• WenkeHuang / Pytorch_FedMD
  ☆75Updated 5 years ago
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 4 years ago
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆70Updated 3 years ago
• cyyever / distributed_learning_simulator
  For distributed machine learning
  ☆29Updated 2 months ago
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆147Updated 3 years ago