Alternatives and similar repositories for survey-deep-gradient-compression

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

• SamuelGong / Pisces
  [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training
  ☆13Updated 4 months ago
• PKU-Chengxu / FLASH
  ☆47Updated 3 years ago
• SymbioticLab / Oort
  Oort: Efficient Federated Learning via Guided Participant Selection
  ☆128Updated 3 years ago
• kevinhsieh / non_iid_dml
  ☆30Updated 4 years ago
• hclhkbu / GaussianK-SGD
  Understanding Top-k Sparsification in Distributed Deep Learning
  ☆24Updated 5 years ago
• kiddyboots216 / CommEfficient
  PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
  ☆78Updated 4 years ago
• HKBU-HPML / OMGS-SGD
  Layer-wise Sparsification of Distributed Deep Learning
  ☆10Updated 5 years ago
• AdamWei-boop / Federated-Learning-with-Model-Quantization
  Federated learning with model quantization
  ☆16Updated 3 years ago
• synxlin / deep-gradient-compression
  [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
  ☆224Updated last year
• amitport / EDEN-Distributed-Mean-Estimation
  This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…
  ☆14Updated 3 years ago
• lusinlu / deep-gradient-compression
  Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"
  ☆31Updated 4 years ago
• AI-secure / FLBenchmark-toolkit
  Federated Learning Framework Benchmark (UniFed)
  ☆49Updated 2 years ago
• kimihe / Octo
  Create tiny ML systems for on-device learning.
  ☆20Updated 4 years ago
• NiuChaoyue / Secure-Federated-Submodel-Learning
  ☆15Updated 4 years ago
• ParCIS / Ok-Topk
  Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…
  ☆26Updated 2 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆35Updated 5 years ago
• vineeths96 / Gradient-Compression
  We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while mai…
  ☆10Updated 3 years ago
• AmberLJC / FLsystem-paper
  Federated Learning Systems Paper List
  ☆75Updated last year
• bibikar / feddst
  Federated Dynamic Sparse Training
  ☆31Updated 3 years ago
• kimihe / Falcon
  A computation-parallel deep learning architecture.
  ☆13Updated 5 years ago
• South-hw / FedPara_ICLR22
  ☆12Updated 8 months ago
• scottjiao / Gradient-Compression-Methods
  ☆33Updated 5 years ago
• yanring / DGS
  Dual-way gradient sparsification approach for async DNN training, based on PyTorch.
  ☆11Updated 2 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆57Updated 2 years ago
• HyperionZhou / CMFL
  CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.
  ☆29Updated 5 years ago
• jiangyuang / ModelPruningLibrary
  ☆22Updated 4 years ago
• jiangyuang / PruneFL
  This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".
  ☆92Updated 3 years ago
• s-huu / Ditto
  ☆54Updated 4 years ago
• pasquini-dario / SplitNN_FSHA
  Privacy attacks on Split Learning
  ☆42Updated 3 years ago
• BHui97 / PrivateFL
  ☆43Updated 2 years ago