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Open Science Artifact: Experimenting Architectural Patterns in Federated Learning Systems

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

Open Science Artifact: Experimenting Architectural Patterns in Federated Learning Systems

Abstract

Description This package includes the code and the results of the experimentation performed in the article: “Experimenting Architectural Patterns in Federated Learning Systems" accepted for publication in the Journal of Systems and Software (JSS), 2025. Package Structure AP4Fed-Main/: The code of the proposed tool. Experimental-Results.xlsl: An excel file collecting all the results of the analysis. README.md: A readme file with instructions for replicating the experiments.

Keywords

Software Architecture, Architectural Patterns, Federated Learning

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green