Federated and Transfer Learning - Adaptation, Learning, and Optimization - - Books - Springer International Publishing AG - 9783031117473 - October 1, 2022
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Federated and Transfer Learning - Adaptation, Learning, and Optimization 1st ed. 2023 edition

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This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning.

371 pages, 80 Illustrations, color; 10 Illustrations, black and white; VIII, 371 p. 90 illus., 80 il

Media Books     Hardcover Book   (Book with hard spine and cover)
Released October 1, 2022
ISBN13 9783031117473
Publishers Springer International Publishing AG
Pages 371
Dimensions 150 × 220 × 20 mm   ·   735 g
Language German  
Editor Razavi-Far, Roozbeh
Editor Taylor, Matthew E.
Editor Wang, Boyu
Editor Yang, Qiang

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