Federated and Transfer Learning - Adaptation, Learning, and Optimization -  - Knihy - Springer International Publishing AG - 9783031117473 - 01. októbra 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

Médium Knihy     Hardcover Book   (Kniha s pevnou väzbou a obalom)
Vydané 01. októbra 2022
ISBN13 9783031117473
Vydavatelia Springer International Publishing AG
Strany 371
Rozmery 150 × 220 × 20 mm   ·   735 g
Jazyk Nemčina  
Editor Razavi-Far, Roozbeh
Editor Taylor, Matthew E.
Editor Wang, Boyu
Editor Yang, Qiang

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