Sketched SGD
☆28Jul 4, 2020Updated 5 years ago
Alternatives and similar repositories for sketchedsgd
Users that are interested in sketchedsgd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Simple Hierarchical Count Sketch in Python☆21Jun 3, 2021Updated 4 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆25Nov 26, 2019Updated 6 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Aug 30, 2021Updated 4 years ago
- MISSION: Ultra Large-Scale Feature Selection using Count-Sketches☆13Oct 6, 2019Updated 6 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Jul 23, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆37Aug 19, 2019Updated 6 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆226Jul 10, 2024Updated last year
- ☆18Feb 22, 2018Updated 8 years ago
- Code for reproducing experiments performed for Accoridon☆13Jun 11, 2021Updated 4 years ago
- ☆26Apr 3, 2020Updated 6 years ago
- Code for paper: Variance Reduced Local SGD with Lower Communication Complexity☆12May 20, 2020Updated 5 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Jul 6, 2020Updated 5 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Jul 25, 2024Updated last year
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆32Jul 25, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Jul 26, 2021Updated 4 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Oct 25, 2018Updated 7 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Mar 24, 2023Updated 3 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Oct 31, 2020Updated 5 years ago
- Quartet II Official Code☆70May 1, 2026Updated last week
- Synthetic galaxy cluster images and catalogs for optical sky surveys☆15Sep 28, 2023Updated 2 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆150Oct 29, 2024Updated last year
- ☆18Jul 25, 2024Updated last year
- ☆10Sep 29, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A Chainer extension for K-FAC☆20Jun 16, 2019Updated 6 years ago
- gossip: Efficient Communication Primitives for Multi-GPU Systems☆62Jul 1, 2022Updated 3 years ago
- ☆40Dec 14, 2025Updated 4 months ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆16Aug 2, 2022Updated 3 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆28Dec 9, 2018Updated 7 years ago
- Official Implementation of wd1☆29Sep 25, 2025Updated 7 months ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆36May 29, 2020Updated 5 years ago
- ☆20May 11, 2022Updated 3 years ago
- A LaTeX template for note☆10May 4, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆183Apr 20, 2021Updated 5 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Oct 20, 2020Updated 5 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆52Feb 19, 2026Updated 2 months ago
- Fast Cardinality Estimation of Multi-Join Queries Using Sketches☆16Feb 29, 2024Updated 2 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆53Mar 22, 2019Updated 7 years ago
- Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers☆92Apr 23, 2022Updated 4 years ago
- A Learnable LSH Framework for Efficient NN Training☆34Jul 22, 2021Updated 4 years ago