Alternatives and similar repositories for byzantine-robust-decentralized-optimizer

Users that are interested in byzantine-robust-decentralized-optimizer are comparing it to the libraries listed below

• desternylin / perfed
  ☆16Updated last year
• git-disl / Fed-CDP
  Gradient-Leakage Resilient Federated Learning
  ☆13Updated 2 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆57Updated 2 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆42Updated 2 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 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
• xqlin98 / Fair-yet-Equal-CML
  This is the official implementation of the ICML 2023 paper "Fair yet Asymptotically Equal Collaborative Learning"
  ☆10Updated 2 years ago
• YuchenLiu-a / byzantine-gas
  Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".
  ☆14Updated 2 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆73Updated 3 years ago
• jiangyuang / ModelPruningLibrary
  ☆22Updated 4 years ago
• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆53Updated last year
• baolongnguyenmac / fl-ml
  This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
  ☆29Updated last year
• shenzebang / CENTAUR-Privacy-Federated-Representation-Learning
  A PyTorch based repository for Federate Learning with Differential Privacy
  ☆16Updated 2 years ago
• omarfoq / communication-in-cross-silo-fl
  Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)
  ☆30Updated 2 years ago
• shams-sam / FedOptim
  Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
  ☆14Updated 3 years ago
• Zoesgithub / FedReg
  ☆28Updated last year
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years ago
• Hypervoyager / PFL
  Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…
  ☆17Updated last year
• fushuhao6 / Attack-Resistant-Federated-Learning
  ☆30Updated 5 years ago
• ceh-2000 / fed_cvae
  Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.
  ☆18Updated last year
• Xtra-Computing / FedSim
  A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)
  ☆27Updated 2 years ago
• JunyiZhu-AI / surrogate_model_extension
  Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning [Accepted at ICML 2023]
  ☆13Updated last year
• REIYANG / FedBCD
  Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…
  ☆16Updated 4 years ago
• pasquini-dario / EludingSecureAggregation
  Eluding Secure Aggregation in Federated Learning via Model Inconsistency
  ☆12Updated 2 years ago
• zibinpan / FedMDFG
  ☆19Updated last year
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆59Updated 2 years ago
• andylamp / federated_pca
  Federated Principal Component Analysis Revisited!
  ☆43Updated 3 years ago