Alternatives and similar repositories for ChocoSGD:

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

• epfml / error-feedback-SGD
  SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847
  ☆31Updated 6 months ago
• jxbz / signSGD
  Code for the signSGD paper
  ☆82Updated 4 years ago
• JYWa / MATCHA
  Communication-efficient decentralized SGD (Pytorch)
  ☆22Updated 4 years ago
• epfml / sparsifiedSGD
  Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
  ☆56Updated 6 years ago
• kiddyboots216 / CommEfficient
  PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
  ☆74Updated 3 years ago
• alshedivat / fedpa
  Federated posterior averaging implemented in JAX
  ☆51Updated last year
• facebookresearch / stochastic_gradient_push
  Stochastic Gradient Push for Distributed Deep Learning
  ☆160Updated last year
• JYWa / Overlap_Local_SGD
  Implementation of (overlap) local SGD in Pytorch
  ☆33Updated 4 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆33Updated 4 years ago
• epfml / cola
  CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883
  ☆20Updated 3 years ago
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆34Updated last year
• hclhkbu / GaussianK-SGD
  Understanding Top-k Sparsification in Distributed Deep Learning
  ☆24Updated 5 years ago
• hwang595 / ATOMO
  Atomo: Communication-efficient Learning via Atomic Sparsification
  ☆25Updated 6 years ago
• dhroth / sketchedsgd
  Sketched SGD
  ☆28Updated 4 years ago
• nikitaivkin / csh
  Simple Hierarchical Count Sketch in Python
  ☆20Updated 3 years ago
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated 6 months ago
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆47Updated 3 years ago
• litian96 / FedDANE
  FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
  ☆24Updated last year
• gingsmith / fmtl
  Federated Multi-Task Learning
  ☆130Updated 6 years ago
• scottjiao / Gradient-Compression-Methods
  ☆27Updated 5 years ago
• epfml / LocalSGD-Code
  ☆45Updated 4 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆40Updated last year
• s-huu / Ditto
  ☆54Updated 3 years ago
• epfml / byzantine-robust-noniid-optimizer
  ☆16Updated 2 years ago
• hongliny / FedAc-NeurIPS20
  Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)
  ☆15Updated 3 years ago
• IBM / probabilistic-federated-neural-matching
  Bayesian Nonparametric Federated Learning of Neural Networks
  ☆141Updated 5 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 2 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆74Updated 5 years ago
• jiangyuang / ModelPruningLibrary
  ☆23Updated 3 years ago