yzeng58 / Improving-Fairness-via-Federated-Learning

Related projects ⓘ

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

• cuis15 / FCFL
  ☆20Updated 2 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• ksreenivasan / OOD_Federated_Learning
  ☆64Updated 2 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆53Updated last year
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆55Updated last year
• cyyever / distributed_learning_simulator
  For distributed machine learning
  ☆28Updated last week
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆66Updated 3 weeks ago
• 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 last month
• s-huu / Ditto
  ☆55Updated 3 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆42Updated last year
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆47Updated 5 months ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆37Updated 2 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆70Updated 3 years ago
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆43Updated 2 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆101Updated last year
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 3 years ago
• gdisag / gradient_disaggregation
  ☆14Updated 9 months ago
• YuchenLiu-a / byzantine-gas
  Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".
  ☆13Updated last year
• epfml / byzantine-robust-noniid-optimizer
  ☆15Updated 2 years ago
• woodyx218 / opacus_global_clipping
  ☆13Updated last year
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆21Updated last year
• git-disl / CPL_attack
  ☆34Updated 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 …
  ☆33Updated 5 months ago
• DeRafael / CAFE
  ☆21Updated 3 years ago
• fedl-repo / fedaux
  ☆28Updated 3 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".
  ☆30Updated 2 years ago
• epfml / byzantine-robust-optimizer
  Learning from history for Byzantine Robustness
  ☆21Updated 3 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.
  ☆43Updated last year
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆30Updated 2 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆50Updated 5 years ago