Hardy-c / AdaComp

Related projects ⓘ

Alternatives and complementary repositories for AdaComp

• kunglab / ddnn
  ☆117Updated 5 years ago
• Tejalsjsu / DeepGradientCompression
  It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep g…
  ☆18Updated 5 years ago
• hclhkbu / gtopkssgd
  gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning
  ☆35Updated 5 years ago
• zoranzhao / DeepThings
  A Portable C Library for Distributed CNN Inference on IoT Edge Clusters
  ☆81Updated 4 years ago
• synxlin / deep-gradient-compression
  [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
  ☆213Updated 4 months ago
• kunglab / branchynet
  ☆124Updated last year
• thu-media / TwoStreamFederatedLearning
  The implementation of "Two-Stream Federated Learning: Reduce the Communication Costs" (VCIP 2018)
  ☆14Updated 5 years ago
• hush66 / DNN-Partition-demo
  A DNN model partition demo
  ☆30Updated 4 years ago
• roxanneluo / Federated-Learning
  ☆167Updated 6 years ago
• nhatminh / FEDL-INFOCOM
  Federated Learning over Wireless Networks
  ☆44Updated 3 years ago
• hclhkbu / GaussianK-SGD
  Understanding Top-k Sparsification in Distributed Deep Learning
  ☆22Updated 5 years ago
• sands-lab / grace
  GRACE - GRAdient ComprEssion for distributed deep learning
  ☆138Updated 3 months ago
• srQ-cpc / D-PSGD
  Algorithm: Decentralized Parallel Stochastic Gradient Descent
  ☆41Updated 6 years ago
• felisat / federated-learning
  ☆90Updated 3 years ago
• SymbioticLab / Oort
  Oort: Efficient Federated Learning via Guided Participant Selection
  ☆124Updated 3 years ago
• HKBU-HPML / MG-WFBP
  MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning
  ☆12Updated 3 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆33Updated 4 years ago
• jinevening / ElasticDNN
  Elastic Execution of a DNN Model Between Client and Server
  ☆17Updated 5 years ago
• lusinlu / deep-gradient-compression
  Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"
  ☆31Updated 4 years ago
• wenwei202 / terngrad
  Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
  ☆182Updated 6 years ago
• letian-zhang / ANS
  Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
  ☆37Updated 3 years ago
• ganshaoduo / QSGD-TF
  QSGD-TF
  ☆21Updated 5 years ago
• iQua / flsim
  A simulation framework for Federated Learning written in PyTorch
  ☆193Updated 2 years ago
• HKBU-HPML / OMGS-SGD
  Layer-wise Sparsification of Distributed Deep Learning
  ☆10Updated 4 years ago
• gingsmith / fmtl
  Federated Multi-Task Learning
  ☆129Updated 6 years ago
• facebookresearch / stochastic_gradient_push
  Stochastic Gradient Push for Distributed Deep Learning
  ☆158Updated last year
• IoTDATALab / CNNPC
  ☆12Updated 4 years ago
• Zing22 / tf-fed-demo
  A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.
  ☆59Updated 3 years ago
• CharlieDinh / FEDL
  FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)
  ☆52Updated 3 years ago