Federated and Transfer Learning - Adaptation, Learning, and Optimization - - Knjige - Springer International Publishing AG - 9783031117473 - 1. oktobra 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

Medij Knjige     Hardcover Book   (Knjiga s trdim hrbtom in platnicami)
Izdano 1. oktobra 2022
ISBN13 9783031117473
Založniki Springer International Publishing AG
Strani 371
Dimenzije 150 × 220 × 20 mm   ·   735 g
Jezik Nemščina  
Urednik Razavi-Far, Roozbeh
Urednik Taylor, Matthew E.
Urednik Wang, Boyu
Urednik Yang, Qiang

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