hwang595 / Draco
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
☆23Updated 6 years ago
Alternatives and similar repositories for Draco:
Users that are interested in Draco are comparing it to the libraries listed below
- Sketched SGD☆28Updated 4 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆56Updated 6 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆25Updated 6 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆51Updated 5 years ago
- Implementation of Parameter Server using PyTorch communication lib☆43Updated 5 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- ☆74Updated 5 years ago
- Code for the signSGD paper☆81Updated 4 years ago
- Simple Hierarchical Count Sketch in Python☆20Updated 3 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆35Updated 5 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆30Updated 5 months ago
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆41Updated 6 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆65Updated 4 years ago
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆11Updated 2 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆160Updated last year
- Byzantine-resilient distributed SGD with TensorFlow.☆37Updated 3 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆52Updated 3 years ago
- CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883☆19Updated 3 years ago
- The Search for Sparse, Robustness Neural Networks☆11Updated last year
- Code for reproducing experiments performed for Accoridon☆13Updated 3 years ago
- A curated list of resources dedicated to federated learning.☆102Updated 2 years ago
- Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)☆15Updated 3 years ago
- Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"☆15Updated 4 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Updated 4 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 5 months ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆12Updated 5 months ago
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆13Updated 4 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Updated 5 months ago