Alternatives and similar repositories for fair-dp

Users that are interested in fair-dp are comparing it to the libraries listed below

• yzeng58 / Improving-Fairness-via-Federated-Learning
  ☆13Updated 2 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆31Updated 3 years ago
• woodyx218 / opacus_global_clipping
  ☆15Updated last year
• epfml / byzantine-robust-optimizer
  Learning from history for Byzantine Robustness
  ☆23Updated 3 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• XinyiYS / Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning
  Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…
  ☆22Updated 7 months ago
• gdisag / gradient_disaggregation
  ☆14Updated last year
• thecml / dpsgd-optimizer
  Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…
  ☆41Updated last year
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆108Updated 2 years ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆37Updated 3 years ago
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆48Updated last year
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆65Updated 3 years ago
• chamikara1986 / LDPFL
  Local Differential Privacy for Federated Learning
  ☆16Updated 2 years ago
• vaseline555 / SuPerFed
  (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)
  ☆31Updated 9 months ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆43Updated last year
• orientino / lira-pytorch
  Likelihood Ratio Attack (LiRA) in PyTorch
  ☆15Updated 2 months ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆56Updated 2 years ago
• DeRafael / CAFE
  ☆21Updated 3 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 2 years ago
• metastableB / kfed
  KFedExps -> kfed
  ☆14Updated 3 years ago
• lhfowl / robbing_the_fed
  ☆25Updated 3 years ago
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆17Updated last year
• cyyever / distributed_learning_simulator
  For distributed machine learning
  ☆28Updated last week
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 4 years ago
• illidanlab / FedRBN
  [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
  ☆27Updated 2 years 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
• AllenBeau / pFedBayes
  Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]
  ☆56Updated 2 years ago
• 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".
  ☆33Updated 2 years ago
• YuchenLiu-a / byzantine-gas
  Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".
  ☆14Updated last year