Scaleout Edge Client
The Scaleout Edge Client is a Python package that provides the necessary tools and interfaces to create compute packages, generate seed models, and interact with the Scaleout Edge network for federated learning tasks and Edge AI deployments. It allows developers to integrate their local training code with the Scaleout Edge network, enabling seamless communication and coordination for distributed machine learning workflows.
Getting Started
Please refer to the Quickstart Guide for a step-by-step introduction to using the Scaleout Edge Client.
Support
Community support is available in our Discord server.
Options are available for Dedicated/custom support.
Citation
If you use Scaleout Edge in your research, please cite:
@article{ekmefjord2021scalable,
title={Scalable federated machine learning with FEDn},
author={Ekmefjord, Morgan and Ait-Mlouk, Addi and Alawadi, Sadi and {\\AA}kesson, Mattias and Stoyanova, Desislava and Spjuth, Ola and Toor, Salman and Hellander, Andreas},
journal={arXiv preprint arXiv:2103.00148},
year={2021}
}
License
Scaleout Edge python client is licensed under Apache-2.0 (see LICENSE file for full information).
Use of Scaleout Edge Studio is subject to the Terms of Use.
3 maintainers
Metadata
3 maintainers
Release files for scaleout 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scaleout-1.0.7.tar.gz | 181.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scaleout-1.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 246.1 kB
Release files / scaleout-1.0.7.tar.gz
| Download URL | scaleout-1.0.7.tar.gz |
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| Tags | Source |
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Transparency logRelease files / scaleout-1.0.7-py3-none-any.whl
| Download URL | scaleout-1.0.7-py3-none-any.whl |
|---|---|
| Size | 64.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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