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Federated Learning: from Theory to Practice

EasyChair Preprint 15919

286 pagesDate: March 18, 2025

Abstract

We show how to model FL applications as an optimization problem (GTVMin) over a graph structure (FL network). This results in a unified treatment of a wide range of FL systems.

Keyphrases: Federated Learning, complex networks, machine learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:15919,
  author    = {Alexander Jung},
  title     = {Federated Learning: from Theory to Practice},
  howpublished = {EasyChair Preprint 15919},
  year      = {EasyChair, 2025}}
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