Alternatives and similar repositories for Draco:

Users that are interested in Draco are comparing it to the libraries listed below

• dhroth / sketchedsgd
  Sketched SGD
  ☆28Updated 4 years ago
• hwang595 / ATOMO
  Atomo: Communication-efficient Learning via Atomic Sparsification
  ☆25Updated 6 years ago
• epfml / sparsifiedSGD
  Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
  ☆58Updated 6 years ago
• hwang595 / PyTorch-parameter-server
  Implementation of Parameter Server using PyTorch communication lib
  ☆43Updated 5 years ago
• jxbz / signSGD
  Code for the signSGD paper
  ☆83Updated 4 years ago
• hwang595 / ps_pytorch
  implement distributed machine learning with Pytorch + OpenMPI
  ☆51Updated 5 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆74Updated 5 years ago
• justincosentino / robust-sparse-networks
  The Search for Sparse, Robustness Neural Networks
  ☆11Updated last year
• chaoyanghe / FedNAS
  FedNAS: Federated Deep Learning via Neural Architecture Search
  ☆53Updated 3 years ago
• epfml / error-feedback-SGD
  SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847
  ☆31Updated 6 months ago
• nikitaivkin / csh
  Simple Hierarchical Count Sketch in Python
  ☆20Updated 3 years ago
• epfml / cola
  CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883
  ☆20Updated 3 years ago
• facebookresearch / stochastic_gradient_push
  Stochastic Gradient Push for Distributed Deep Learning
  ☆160Updated last year
• epfml / LocalSGD-Code
  ☆45Updated 4 years ago
• litian96 / FedDANE
  FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
  ☆25Updated last year
• yanring / DGS
  Dual-way gradient sparsification approach for async DNN training, based on PyTorch.
  ☆11Updated 2 years ago
• rdspring1 / Count-Sketch-Optimizers
  A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
  ☆27Updated 5 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆33Updated 4 years ago
• LPD-EPFL / AggregaThor
  Byzantine-resilient distributed SGD with TensorFlow.
  ☆39Updated 4 years ago
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated 6 months ago
• epfml / ChocoSGD
  Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
  ☆66Updated 4 years ago
• hclhkbu / gtopkssgd
  gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning
  ☆36Updated 5 years ago
• srQ-cpc / D-PSGD
  Algorithm: Decentralized Parallel Stochastic Gradient Descent
  ☆41Updated 6 years ago
• Hazelsuko07 / InstaHide
  InstaHide: Instance-hiding Schemes for Private Distributed Learning
  ☆50Updated 4 years ago
• JYWa / Overlap_Local_SGD
  Implementation of (overlap) local SGD in Pytorch
  ☆33Updated 4 years ago
• congxie1108 / iclr2020_zeno_async
  Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD
  ☆13Updated 5 years ago
• timmers / awesome-federated-learning
  A curated list of resources dedicated to federated learning.
  ☆103Updated 2 years ago
• lee-man / federated-learning
  Related material on Federated Learning
  ☆26Updated 4 years ago
• zerolxf / VRL-SGD
  Code for paper: Variance Reduced Local SGD with Lower Communication Complexity
  ☆12Updated 4 years ago
• IBM / probabilistic-federated-neural-matching
  Bayesian Nonparametric Federated Learning of Neural Networks
  ☆143Updated 5 years ago