Collaborative Distributed Machine Learning
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Abstract (arXiv)
Various collaborative distributed machine learning (CDML) systems, including federated learning systems and swarm learning systems, with diferent key traits were developed to leverage resources for the development and use of machine learning(ML) models in a conidentiality-preserving way. To meet use case requirements, suitable CDML systems need to be selected. However, comparison between CDML systems to assess their suitability for use cases is often diicult. To support comparison of CDML systems and introduce scientiic and practical audiences to the principal functioning and key traits of CDML systems, this work presents a CDML system conceptualization and CDML archetypes.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 54 of its 129 references that are in the map. First posted on arXiv 28 Sep 2023.
Builds on
54 of 129 references.
References · 54
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38 more
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