epfml / powergossipLinks
Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"
☆16Updated 4 years ago
Alternatives and similar repositories for powergossip
Users that are interested in powergossip are comparing it to the libraries listed below
Sorting:
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆70Updated 4 years ago
- Sketched SGD☆28Updated 4 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- Code for the signSGD paper☆86Updated 4 years ago
- Communication-efficient decentralized SGD (Pytorch)☆25Updated 5 years ago
- Code related to ’Beyond spectral gap: The role of the topology in decentralized learning‘.☆13Updated 3 years ago
- ☆46Updated 5 years ago
- AN EFFICIENT AND GENERAL FRAMEWORK FOR LAYERWISE-ADAPTIVE GRADIENT COMPRESSION☆14Updated last year
- ☆22Updated 4 years ago
- ☆33Updated 5 years ago
- Implementation of (overlap) local SGD in Pytorch☆33Updated 4 years ago
- Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab☆14Updated 3 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Updated 2 years ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Updated 2 years ago
- Code for testing DCT plus Sparse (DCTpS) networks☆14Updated 3 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- ☆74Updated 6 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆36Updated 2 years ago
- Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)☆15Updated 4 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- ☆22Updated 2 years ago
- Simple Hierarchical Count Sketch in Python☆20Updated 4 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆27Updated 6 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated last year
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Updated 6 years ago
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆30Updated 4 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆147Updated 7 months ago
- The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"☆45Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆44Updated 2 years ago
- Code for Double Blind CollaborativeLearning (DBCL)☆14Updated 4 years ago