Alternatives and similar repositories for Byzantine-resilient-distributed-learning

Users that are interested in Byzantine-resilient-distributed-learning are comparing it to the libraries listed below

• epfml / byzantine-robust-optimizer
  Learning from history for Byzantine Robustness
  ☆23Updated 3 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆72Updated 3 years ago
• congxie1108 / icml2019_zeno
  ☆16Updated 6 years ago
• LPD-EPFL / ByzantineMomentum
  Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)
  ☆22Updated 4 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆48Updated 2 years ago
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆52Updated last year
• 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
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆56Updated 2 years ago
• kiddyboots216 / CommEfficient
  PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
  ☆77Updated 3 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆107Updated 2 years ago
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated last year
• Liepill / RSA-Byzantine
  ☆24Updated 5 years ago
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆17Updated 4 years ago
• woodyx218 / Deep-Learning-with-GDP-Pytorch
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆33Updated 4 years ago
• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• pasquini-dario / SplitNN_FSHA
  Privacy attacks on Split Learning
  ☆42Updated 3 years ago
• lebyni / PFA
  ☆36Updated 4 years ago
• gdisag / gradient_disaggregation
  ☆14Updated last year
• Koukyosyumei / Attack_SplitNN
  reveal the vulnerabilities of SplitNN
  ☆31Updated 2 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆150Updated 2 years ago
• epfml / byzantine-robust-noniid-optimizer
  ☆18Updated 3 years ago
• Di-Chai / FedEval
  ☆44Updated last year
• JYWa / MATCHA
  Communication-efficient decentralized SGD (Pytorch)
  ☆25Updated 5 years ago
• facebookresearch / FL_partial_personalization
  Federated Learning with Partial Model Personalization
  ☆42Updated 2 years ago
• abbas5253 / SplitNN-for-Vertically-Partitioned-Data
  Integration of SplitNN for vertically partitioned data with OpenMined's PySyft
  ☆27Updated 4 years ago
• CharlieDinh / FedU_FMTL
  This repo implements FedU, a multitask learning framework for federated learning
  ☆28Updated last month
• DistributedML / FoolsGold
  A sybil-resilient distributed learning protocol.
  ☆103Updated last year
• zechenghe / Inverse_Collaborative_Inference
  ☆45Updated 3 years ago