Alternatives and similar repositories for FPPDL:

Users that are interested in FPPDL are comparing it to the libraries listed below

• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆51Updated 11 months ago
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆17Updated last year
• fushuhao6 / Attack-Resistant-Federated-Learning
  ☆31Updated 5 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆73Updated 3 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆56Updated 2 years ago
• hongyouc / FedBE
  FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
  ☆39Updated 2 years ago
• 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 …
  ☆35Updated 11 months ago
• FumiyukiKato / FL-attacks-papers
  A list of papers using/about Federated Learning especially malicious client and attacks.
  ☆12Updated 4 years ago
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆43Updated last year
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆65Updated 3 years ago
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated 9 months ago
• najeebjebreel / LFighter
  This repository contains PyTorch implementation of the paper ''LFighter: Defending against Label-flipping Attacks in Federated Learning''…
  ☆13Updated 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
• lebyni / PFA
  ☆36Updated 3 years ago
• woodyx218 / Deep-Learning-with-GDP-Pytorch
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆33Updated 4 years ago
• gitgik / differential-privacy-federated-learning
  Curated notebooks on how to train neural networks using differential privacy and federated learning.
  ☆68Updated 4 years ago
• cpwan / Attack-Adaptive-Aggregation-in-Federated-Learning
  This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
  ☆44Updated last year
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆150Updated 2 years ago
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆62Updated 4 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 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
• QinbinLi / FedKT
  Practical One-Shot Federated Learning for Cross-Silo Setting
  ☆42Updated 3 years ago
• abbas5253 / SplitNN-for-Vertically-Partitioned-Data
  Integration of SplitNN for vertically partitioned data with OpenMined's PySyft
  ☆27Updated 4 years ago
• shaoxiongji / fed-att
  Attentive Federated Learning for Private NLM
  ☆61Updated 9 months ago
• mtang724 / Self-Balancing-Federated-Learning
  Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"
  ☆46Updated last year
• s-huu / Ditto
  ☆54Updated 3 years ago
• grasses / Vertical-Federated-Learning
  Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"
  ☆32Updated 2 years ago
• baolongnguyenmac / fl-ml
  This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
  ☆29Updated last year
• JingHongyi / Federated-Learning-Backdoor-Example-with-MNIST-and-CIFAR-10
  This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…
  ☆14Updated 4 years ago