Client optimizer for use with ConLAi which is ledger type federated learning framework
Project description
pyConLAi
Client optimizer for use with ConLAi which is ledger type federated learning framework
What's ConLAi?
Con(sensus)L(erning) Ai is server module for Ledger type federated learning. Ledger type federated learning achieves federated learning in a way that feels like Git.
How to Start
Here is how to run the CIFAR10 example:
1. Server-side execution
This Python module is a client module. The ConLAi service requires the server to be started.
Download the server module from the URL below:
https://github.com/rosso-ai/conlai
and start the server with the following command.
conlai
See also the server module README for more information.
2. Client-side execution
Next, start the client side. This sample runs two client nodes in multi-process mode.
cd examples/cifar10
python run.py conf/dsgd_cifar10.yml
License
This software is Apache license.
Authors
ConLAi is developed by Rosso inc.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyconlai-0.0.4.tar.gz.
File metadata
- Download URL: pyconlai-0.0.4.tar.gz
- Upload date:
- Size: 13.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ada1c30ca5072028321baca004afdc62800b490d1973e771d0eec183e582eacc
|
|
| MD5 |
32694541740fa3a8fa7f03ca68730c55
|
|
| BLAKE2b-256 |
a370b338af72e9af7397d3e1eec27fb613e2c32d46b352d006e0a5120c5a9012
|
Provenance
The following attestation bundles were made for pyconlai-0.0.4.tar.gz:
Publisher:
release.yml on rosso-ai/pyConLAi
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
pyconlai-0.0.4.tar.gz -
Subject digest:
ada1c30ca5072028321baca004afdc62800b490d1973e771d0eec183e582eacc - Sigstore transparency entry: 429609727
- Sigstore integration time:
-
Permalink:
rosso-ai/pyConLAi@f16ee4275fa1f1e79cc471a418b625fb1acc826c -
Branch / Tag:
refs/tags/v0.0.4 - Owner: https://github.com/rosso-ai
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@f16ee4275fa1f1e79cc471a418b625fb1acc826c -
Trigger Event:
push
-
Statement type:
File details
Details for the file pyconlai-0.0.4-py3-none-any.whl.
File metadata
- Download URL: pyconlai-0.0.4-py3-none-any.whl
- Upload date:
- Size: 13.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3cb3b3df4fb7294829cf5b08bb91b9530a48b4aa1cf5a0a1bc807ebc60a96b0b
|
|
| MD5 |
53784b347474f70bcbcb6347cf245e55
|
|
| BLAKE2b-256 |
0ecb97b62cff26fb9907a40367d7f9f1bb5133fa73cb1c6e18d264afb8a2cf65
|
Provenance
The following attestation bundles were made for pyconlai-0.0.4-py3-none-any.whl:
Publisher:
release.yml on rosso-ai/pyConLAi
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
pyconlai-0.0.4-py3-none-any.whl -
Subject digest:
3cb3b3df4fb7294829cf5b08bb91b9530a48b4aa1cf5a0a1bc807ebc60a96b0b - Sigstore transparency entry: 429609739
- Sigstore integration time:
-
Permalink:
rosso-ai/pyConLAi@f16ee4275fa1f1e79cc471a418b625fb1acc826c -
Branch / Tag:
refs/tags/v0.0.4 - Owner: https://github.com/rosso-ai
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@f16ee4275fa1f1e79cc471a418b625fb1acc826c -
Trigger Event:
push
-
Statement type:
