Handbook on Federated Learning : Advances, Applications and Opportunities
Book Details
Format
Hardback or Cased Book
ISBN-10
103247162X
ISBN-13
9781032471624
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 15th, 2023
Print length
356 Pages
Weight
830 grams
Product Classification:
MathematicsProbability & statisticsProbability and statisticsBiology, life sciencesElectrical engineeringAutomatic control engineeringDigital and information technologies: Legal aspectsLegal aspects of ITComputer securityComputer networking & communicationsComputer networking and communicationsComputer scienceSystems analysis & designSystems analysis and designComputer architecture & logic designComputer architecture and logic designArtificial intelligenceArtificial intelligence (AI)
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Federated learning is a Distributed Machine Learning model that has been used in many applications today. Most edge devices can execute models with local dataset since their computation power is unutilized.
Federated learning is a Distributed Machine Learning model that has been used in many applications today. Most edge devices can execute models with local dataset since their computation power is unutilized.
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