Collaborative Distributed Machine Learning
arxiv(2023)
摘要
Various collaborative distributed machine learning (CDML) systems, including
federated learning systems and swarm learning systems, with different key
traits were developed to leverage resources for development and use of machine
learning (ML) models in a confidentiality-preserving way. To meet use case
requirements, suitable CDML systems need to be selected. However, comparison
between CDML systems regarding their suitability for use cases is often
difficult. This work presents a CDML system conceptualization and CDML
archetypes to support comparison of CDML systems and introduce scientific and
practical audiences to the principal functioning and key traits of CDML
systems.
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