Phenomena and Processes

Federated Learning

A method of training machine learning models whereby multiple devices train their own copy of the artificial intelligence model using decentralized local data. These locally trained model results are then aggregated by a central server to update the global model without accessing local data.

National Library of MedicineMedical Subject Headings2026

Structured Summary

Abstract

A method of training machine learning models whereby multiple devices train their own copy of the artificial intelligence model using decentralized local data. These locally trained model results are then aggregated by a central server to update the global model without accessing local data.

MeSH Record

Classification

Broader headings

Related Concepts

Knowledge Graph

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MeSH Record

Synonyms

8 entry terms
  • Federated Learning, Machine
  • Federated Machine Learning
  • Federated Learnings
  • Federated Machine Learnings
  • Learning, Federated
  • Machine Federated Learning
  • Machine Federated Learnings
  • Machine Learning, Federated

MeSH Record

Aspects Covered

9 allowable subheadings

Indexed with the subheadings classification, economics, ethics, history, legislation & jurisprudence, standards, statistics & numerical data, supply & distribution, trends.

MeSH Record

History Note

2025

MeSH Record

Previous Indexing

  • Machine Learning (2018-2024)

MeSH Hierarchy

Tree Numbers

  1. G17w.035w.250w.500w.469w
  2. L01w.224w.050w.375w.530w.469w

AMA Style

References

  1. National Library of Medicine. Federated Learning. Medical Subject Headings (MeSH). 2026. Unique ID D000098407. http://id.nlm.nih.gov/mesh/2026/D000098407
  2. Federated Learning. In: Wikipedia. https://en.wikipedia.org/wiki/Federated_learning
  3. Federated Learning. In: Wikidata. https://www.wikidata.org/wiki/Q50818671