Federated Learning
nounid
4897·updated Aug 28, 2026verified
An approach to machine learning which addresses problems of data governance and privacy by training algorithms collaboratively without transferring the data to a central location. Each federated device trains on data locally and shares its local model parameters instead of sharing the training data. Different federated learning systems have different topologies that involve different ways of sharing parameters.
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Classifications
Entity Type
Capability75%llm-generatedllm:claude-haiku-4-5
Sensitivity
—60%llm-generatedllm:claude-haiku-4-5
Information Class
—50%llm-generatedllm:claude-haiku-4-5
Variants
- plural
- Federated Learnings
- possessive
- Federated Learning's
- pluralpossessive
- Federated Learnings'
Framework definitions
EU-U.S. Terminology and Taxonomy for Artificial Intelligence - Second Edition1 senseview framework →
- §1
- An approach to machine learning which addresses problems of data governance and privacy by training algorithms collaboratively without transferring the data to a central location. Each federated device trains on data locally and shares its local model parameters instead of sharing the training data. Different federated learning systems have different topologies that involve different ways of sharing parameters.
- §1 · legacy_primary
- An approach to machine learning which addresses problems of data governance and privacy by training algorithms collaboratively without transferring the data to a central location. Each federated device trains on data locally and shares its local model parameters instead of sharing the training data. Different federated learning systems have different topologies that involve different ways of sharing parameters.DR-088 backfill from the noun definition column
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