Stadle, A platform for federated learning.
Project description
STADLE v0.0.2
Our STADLE platform is a paradigm-shifting technology for collaborative and continuous learning combining privacy-preserving frameworks. STADLE platform stands for Scalable, Traceable, Adaptive, Distributed Learning platform for versatile ML applications.
Table of Contents
General Terminologies
There are 3 main components in STADLE.
-
Persistence-server
- A core functionality which helps in keeping track of various database entries.
- Packaged as a command inside
stadlelibrary. stadle persistence-server [args]
-
Aggregator
- A core functionality which helps aggregation process.
- Packaged as a command inside
stadlelibrary.stadle aggregator [args]
-
Client [this package]
- In charge of communicating with
stadlecore functions. - A core functionality which helps executing the machine learning code from client side.
- Packaged inside
stadlelibrary as a class.from stadle import BasicClientclass BasicClientis used to letstadleknow that the following code is going to be ML oriented.
- In charge of communicating with
Contributing
Reach out with your issues or proposals to improve STADLE.
Bug Reports
Please check/submit issues here.
Tech Support
Please reach out to our technical support team via support@tie-set.com.
License
Any use and distribution of this code must be under the NDA with TieSet Inc.
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