anupamkliv/FedERA
FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.
This framework helps machine learning engineers or researchers build and train machine learning models collaboratively across many devices without centralizing data. You input local datasets distributed across various edge devices like Raspberry Pis or industrial computers, and it outputs a global, more robust machine learning model. This is ideal for those working on privacy-preserving AI or models for distributed IoT networks.
140 stars. Available on PyPI.
Use this if you need to train a machine learning model using data from many different edge devices without pooling all the data in one central location.
Not ideal if your data is already centralized or if you are working with a single, powerful computational resource.
Stars
140
Forks
61
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 02, 2026
Commits (30d)
0
Dependencies
10
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