Federated learningFederated learning
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What Wikipedia says
Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients) collaboratively train a model while keeping their data decentralized, rather than centrally stored. A defining characteristic of federated learning is data heterogeneity.
Excerpt from the Wikipedia article “Federated learning”, under the CC BY-SA 4.0 license. Read the article on Wikipedia
Image: MarcT0K, CC BY-SA 4.0, via Wikimedia Commons.
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