Alternatives and similar repositories for Improving-Fairness-via-Federated-Learning

Users that are interested in Improving-Fairness-via-Federated-Learning are comparing it to the libraries listed below

• cuis15 / FCFL
  ☆20Updated 3 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆42Updated last year
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 2 years ago
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated 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 8 months ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated 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".
  ☆34Updated 2 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• desternylin / perfed
  ☆16Updated last year
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆37Updated 4 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆69Updated 7 months ago
• fedl-repo / fedaux
  ☆30Updated 4 years ago
• gdisag / gradient_disaggregation
  ☆14Updated last year
• ksreenivasan / OOD_Federated_Learning
  ☆69Updated 2 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆56Updated 2 years ago
• woodyx218 / Deep-Learning-with-GDP-Pytorch
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆33Updated 4 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆107Updated 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 last year
• git-disl / CPL_attack
  ☆37Updated 3 years ago
• hongyouc / FedBE
  FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
  ☆39Updated 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…
  ☆38Updated 3 years ago
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆52Updated last year
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆17Updated 2 years ago
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆48Updated 2 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• cyyever / distributed_learning_simulator
  For distributed machine learning
  ☆28Updated last week
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆64Updated 3 years ago
• chamikara1986 / LDPFL
  Local Differential Privacy for Federated Learning
  ☆16Updated 2 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 2 years ago
• layer6ai-labs / fair-dp
  Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".
  ☆11Updated 2 years ago