Collaborative Distributed Machine Learning

arXiv:2309.16584v3 Announce Type: replace-cross
Abstract: 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 …

abstract arxiv case collaborative comparison cs.et cs.lg cs.ma cs.se development distributed federated learning however key learning systems machine machine learning requirements resources systems type