dhroth / sketchedsgd
Sketched SGD
☆28Updated 4 years ago
Alternatives and similar repositories for sketchedsgd:
Users that are interested in sketchedsgd are comparing it to the libraries listed below
- ☆74Updated 5 years ago
- Code for the signSGD paper☆83Updated 4 years ago
- Simple Hierarchical Count Sketch in Python☆20Updated 3 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆25Updated 6 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883☆20Updated 3 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Updated 6 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆67Updated 4 years ago
- DRACO: Byzantine-resilient Distributed Training via Redundant Gradients☆23Updated 6 years ago
- Implementation of (overlap) local SGD in Pytorch☆33Updated 4 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆147Updated 5 months ago
- Stochastic Gradient Push for Distributed Deep Learning☆160Updated last year
- ☆46Updated 5 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆137Updated 8 months ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆30Updated 8 months ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆76Updated 3 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Updated 3 years ago
- ☆27Updated 2 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆36Updated 5 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆51Updated 6 years ago
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆25Updated 2 years ago
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Updated 4 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆35Updated 2 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆217Updated 8 months ago
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆41Updated 6 years ago
- Federated posterior averaging implemented in JAX☆51Updated last year
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- QSGD-TF☆21Updated 5 years ago
- Code for reproducing experiments performed for Accoridon☆13Updated 3 years ago