Alternatives and similar repositories for deep-gradient-compression:

Users that are interested in deep-gradient-compression are comparing it to the libraries listed below

• Tejalsjsu / DeepGradientCompression
  It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep g…
  ☆18Updated 5 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆33Updated 4 years ago
• hclhkbu / GaussianK-SGD
  Understanding Top-k Sparsification in Distributed Deep Learning
  ☆24Updated 5 years ago
• chaoyanghe / FedNAS
  FedNAS: Federated Deep Learning via Neural Architecture Search
  ☆54Updated 3 years ago
• synxlin / deep-gradient-compression
  [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
  ☆217Updated 8 months ago
• bibikar / feddst
  Federated Dynamic Sparse Training
  ☆30Updated 2 years ago
• Tabrizian / learning-to-quantize
  Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.
  ☆30Updated 4 years ago
• epfml / sparsifiedSGD
  Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
  ☆59Updated 6 years ago
• scottjiao / Gradient-Compression-Methods
  ☆28Updated 5 years ago
• epfml / LocalSGD-Code
  ☆46Updated 5 years ago
• kevinhsieh / non_iid_dml
  ☆28Updated 4 years ago
• hclhkbu / gtopkssgd
  gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning
  ☆36Updated 5 years ago
• jxbz / signSGD
  Code for the signSGD paper
  ☆83Updated 4 years ago
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆42Updated last year
• JYWa / Overlap_Local_SGD
  Implementation of (overlap) local SGD in Pytorch
  ☆33Updated 4 years ago
• hwang595 / ATOMO
  Atomo: Communication-efficient Learning via Atomic Sparsification
  ☆25Updated 6 years ago
• jiangyuang / ModelPruningLibrary
  ☆23Updated 3 years ago
• HKBU-HPML / OMGS-SGD
  Layer-wise Sparsification of Distributed Deep Learning
  ☆10Updated 4 years ago
• sands-lab / grace
  GRACE - GRAdient ComprEssion for distributed deep learning
  ☆138Updated 7 months ago
• charleslipku / LotteryFL
  LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…
  ☆41Updated 2 years ago
• mynameisvinn / federated-learning
  tf implementation of federated learning
  ☆41Updated 5 years ago
• epfml / error-feedback-SGD
  SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847
  ☆31Updated 7 months ago
• kiddyboots216 / CommEfficient
  PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
  ☆75Updated 3 years ago
• congxie1108 / iclr2020_zeno_async
  Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD
  ☆13Updated 5 years ago
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆18Updated 4 years ago
• kimihe / Octo
  Create tiny ML systems for on-device learning.
  ☆20Updated 3 years ago
• yanring / DGS
  Dual-way gradient sparsification approach for async DNN training, based on PyTorch.
  ☆11Updated 2 years ago
• CompML / survey-deep-gradient-compression
  ☆10Updated 3 years ago
• felisat / federated-learning
  ☆93Updated 3 years ago
• srQ-cpc / D-PSGD
  Algorithm: Decentralized Parallel Stochastic Gradient Descent
  ☆41Updated 6 years ago