Alternatives and similar repositories for GaussianK-SGD

Users that are interested in GaussianK-SGD are comparing it to the libraries listed below

• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆35Updated 5 years ago
• scottjiao / Gradient-Compression-Methods
  ☆33Updated 5 years ago
• bibikar / feddst
  Federated Dynamic Sparse Training
  ☆30Updated 3 years ago
• kevinhsieh / non_iid_dml
  ☆30Updated 4 years ago
• jiangyuang / ModelPruningLibrary
  ☆22Updated 4 years ago
• lusinlu / deep-gradient-compression
  Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"
  ☆31Updated 4 years ago
• synxlin / deep-gradient-compression
  [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
  ☆222Updated 10 months ago
• kiddyboots216 / CommEfficient
  PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
  ☆77Updated 3 years ago
• felisat / federated-learning
  ☆94Updated 3 years ago
• ramshi236 / Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
  SCAFFOLD and FedAvg implementation
  ☆59Updated 3 years ago
• HyperionZhou / CMFL
  CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.
  ☆29Updated 5 years ago
• diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients
  [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
  ☆165Updated 2 years ago
• jiangyuang / PruneFL
  This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".
  ☆90Updated 3 years ago
• HKBU-HPML / OMGS-SGD
  Layer-wise Sparsification of Distributed Deep Learning
  ☆10Updated 4 years ago
• SamuelHorvath / Compressed_SGD_PyTorch
  Implementation of Compressed SGD with Compressed Gradients in Pytorch
  ☆13Updated 10 months ago
• charleslipku / LotteryFL
  LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…
  ☆40Updated 2 years ago
• SymbioticLab / Oort
  Oort: Efficient Federated Learning via Guided Participant Selection
  ☆126Updated 3 years ago
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆17Updated 4 years ago
• morningD / GrouProx
  FedGroup, A Clustered Federated Learning framework based on Tensorflow
  ☆41Updated 3 years ago
• SamuelGong / Pisces
  [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training
  ☆12Updated last month
• hwang595 / ATOMO
  Atomo: Communication-efficient Learning via Atomic Sparsification
  ☆27Updated 6 years ago
• hclhkbu / gtopkssgd
  gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning
  ☆36Updated 5 years ago
• CompML / survey-deep-gradient-compression
  ☆10Updated 4 years ago
• jeremy313 / non-iid-dataset-for-personalized-federated-learning
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆83Updated 5 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆117Updated 4 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• BerivanIsik / sparse-random-networks
  Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…
  ☆29Updated 2 years ago
• PKU-Chengxu / FLASH
  ☆46Updated 3 years ago
• diogenes0319 / FedMD_clean
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆154Updated 4 years ago
• Tejalsjsu / DeepGradientCompression
  It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep g…
  ☆18Updated 5 years ago