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Open Science Artifact: Experimenting Architectural Patterns in Federated Learning Systems

Name: Open Science Artifact: Experimenting Architectural Patterns in Federated Learning Systems
Keywords: Software Architecture, Architectural Patterns, Performance Analysis, Federated Learning

Research datakeyboard_double_arrow_right Dataset 13 Feb 2025Embargo end date: 28 Feb 2025 English Publisher:Zenodo

Authors: Compagnucci, Ivan; Pinciroli, Riccardo; Trubiani, Catia;

doi: 10.5281/zenodo.14938840 , 10.5281/zenodo.14938910 , 10.5281/zenodo.14865961

Open Science Artifact: Experimenting Architectural Patterns in Federated Learning Systems

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Abstract

Description This package contains: (ii) the code and the link to the Github Repository of AP4FED and (i) the results of the performance analysis of architectural patterns examined in the article “Experimenting Architectural Patterns in Federated Learning Systems,” which was submitted for publication in the Journal of Systems and Software’s Special Issue on “Software Architecture for Trustworthy Software.” Structure Performance Analysis.xlsl (An excel file containing the results of the analysis) AP4Fed-Main.zip (The code of the tool proposed. It contains a README.md file with instructions/specifications for running AP4FED) To run and test AP4FED please follow the instruction on the README.md file in this repository or in the Github repository. Repository Link: https://github.com/IvanComp/AP4Fed

Related Organizations

National Institute for Nuclear Physics
Italy
Gran Sasso Science Institute
Italy

Keywords

Software Architecture, Architectural Patterns, Performance Analysis, Federated Learning

1 Research products, page of 1

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