Alternatives and similar repositories for Fed-DP:

Users that are interested in Fed-DP are comparing it to the libraries listed below

• JeffffffFu / DPSUR
  DPSUR
  ☆26Updated 2 months ago
• heroding77 / fedavg_encrypt
  FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…
  ☆111Updated 5 months ago
• xiyuanyang45 / DynamicPFL
  nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy
  ☆66Updated 6 months ago
• Chenxing-Xuan / A-series-of-popular-science-in-federated-learning
  ☆59Updated 5 months ago
• lishenghui / blades
  ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning
  ☆141Updated last month
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆47Updated last year
• Antonious-Grigis / Shuffled-Model-of-Differential-Privacy-in-Federated-Learning
  Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.
  ☆17Updated 2 years ago
• Rachelxuan11 / FLAME
  ☆33Updated 2 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆61Updated 3 years ago
• NigeloYang / federated_learning_differential_privacy
  A foundational platform that primarily shares federated learning, differential privacy content
  ☆22Updated last week
• ltzheng / data-privacy
  Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …
  ☆60Updated 3 years ago
• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆126Updated last year
• Heasung-Kim / clustered-federated-learning-via-gradient-based-partitioning
  Clustered Federated Learning via Gradient-based Partitioning (ICML 2024)
  ☆11Updated 7 months ago
• TheWitcher05 / Federated_learning_with_differential_privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆33Updated 4 years ago
• zhmzm / FLTrust_pytorch
  ☆36Updated last year
• JiyaSu / ourFLTrust
  reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"
  ☆29Updated 2 years ago
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆46Updated 2 years ago
• wenzhu23333 / Differential-Privacy-Based-Federated-Learning
  Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…
  ☆370Updated 5 months ago
• JeffffffFu / Awesome-Differential-Privacy-and-Meachine-Learning
  Paper notes and code for differentially private machine learning
  ☆352Updated 4 months ago
• zhmzm / FLAME
  ☆26Updated last year
• avdvg / VFL-Survey
  ☆36Updated 3 years ago
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆33Updated 5 months ago
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆77Updated 2 years ago
• michaelTJC96 / Label_Flipping_Attack
  The project aims to evaluate the vulnerability of Federated Learning systems to targeted data poisoning attack known as Label Flipping At…
  ☆15Updated 3 years ago
• one1Mouth / Awesome-Differential-Privacy-and-Federated-Learning
  Bilibili丸一口的笔录
  ☆20Updated 3 months ago
• chamikara1986 / LDPFL
  Local Differential Privacy for Federated Learning
  ☆16Updated 2 years ago
• makgyver / gossipy
  Python module for simulating gossip learning.
  ☆40Updated last year
• ehsanul9511 / FLShield
  ☆14Updated last year
• XinyiYS / Robust-and-Fair-Federated-Learning
  Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …
  ☆36Updated 9 months ago
• wizard1203 / GossipFL
  ☆17Updated last year