Alternatives and similar repositories for Octo:

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

• lzhangbv / acpsgd
  [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning
  ☆10Updated last year
• lusinlu / deep-gradient-compression
  Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"
  ☆31Updated 4 years ago
• qipengwang / Melon
  MobiSys#114
  ☆21Updated last year
• bibikar / feddst
  Federated Dynamic Sparse Training
  ☆29Updated 2 years ago
• Tabrizian / learning-to-quantize
  Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.
  ☆29Updated 4 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated last year
• falcon-xu / early-exit-papers
  A curated list of early exiting (LLM, CV, NLP, etc)
  ☆38Updated 4 months ago
• chaoyanghe / FedNAS
  FedNAS: Federated Deep Learning via Neural Architecture Search
  ☆52Updated 3 years ago
• Shigangli / 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…
  ☆23Updated 2 years ago
• SymbioticLab / ModelKeeper
  A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup
  ☆34Updated 2 years ago
• GATECH-EIC / Double-Win-Quant
  [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…
  ☆13Updated 2 years ago
• CompML / survey-deep-gradient-compression
  ☆10Updated 3 years ago
• SamsungLabs / eagle
  Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models
  ☆66Updated last year
• SamuelGong / Pisces
  [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training
  ☆12Updated last year
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆33Updated 4 years ago
• sjtu-epcc / DVABatch
  ☆18Updated 2 years ago
• 1hunters / LIMPQ
  Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022
  ☆50Updated last year
• hku-systems / naspipe
  ☆14Updated 3 years ago
• junjieliu2910 / DynamicSparseTraining
  [ICLR-2020] Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.
  ☆31Updated 4 years ago
• yanring / DGS
  Dual-way gradient sparsification approach for async DNN training, based on PyTorch.
  ☆11Updated 2 years ago
• VITA-Group / GraNet
  [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
  ☆31Updated last year
• hclhkbu / GaussianK-SGD
  Understanding Top-k Sparsification in Distributed Deep Learning
  ☆24Updated 5 years ago
• Shiweiliuiiiiiii / In-Time-Over-Parameterization
  [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…
  ☆46Updated last year
• NiuChaoyue / Secure-Federated-Submodel-Learning
  ☆14Updated 3 years ago
• epfml / LocalSGD-Code
  ☆45Updated 4 years ago
• Soroosh129 / NeuOS
  Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"
  ☆20Updated 4 years ago
• AI-secure / FLBenchmark-toolkit
  Federated Learning Framework Benchmark (UniFed)
  ☆48Updated last year
• PKU-Chengxu / FLASH
  ☆43Updated 2 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆69Updated 2 years ago