epfml / powergossipLinks
Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"
☆17Updated 5 years ago
Alternatives and similar repositories for powergossip
Users that are interested in powergossip are comparing it to the libraries listed below
Sorting:
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆149Updated last year
- Sketched SGD☆28Updated 5 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆75Updated 5 years ago
- Code for the signSGD paper☆93Updated 5 years ago
- Efficient LLM Inference Acceleration using Prompting☆51Updated last year
- AN EFFICIENT AND GENERAL FRAMEWORK FOR LAYERWISE-ADAPTIVE GRADIENT COMPRESSION☆14Updated 2 years ago
- ☆19Updated 2 years ago
- ☆33Updated 6 years ago
- The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"☆45Updated 2 years ago
- Implementation of (overlap) local SGD in Pytorch☆34Updated 5 years ago
- ☆46Updated 5 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 3 years ago
- ☆27Updated 2 years ago
- Communication-efficient decentralized SGD (Pytorch)☆25Updated 5 years ago
- Federated posterior averaging implemented in JAX☆53Updated 2 years ago
- Libraries for efficient and scalable group-structured dataset pipelines.☆25Updated 7 months ago
- Code related to ’Beyond spectral gap: The role of the topology in decentralized learning‘.☆13Updated 3 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Code for testing DCT plus Sparse (DCTpS) networks☆14Updated 4 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆28Updated 7 years ago
- ☆83Updated 2 years ago
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆30Updated 5 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Updated 2 years ago
- ☆77Updated 6 years ago
- ☆21Updated 2 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- ☆94Updated 3 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 3 years ago
- ☆27Updated 3 years ago