Federated and Transfer Learning - Adaptation, Learning, and Optimization -  - Grāmatas - Springer International Publishing AG - 9783031117473 - 2022. gada 1. oktobris
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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

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2022. gada 1. oktobris
ISBN13 9783031117473
Izdevēji Springer International Publishing AG
Lapas 371
Izmēri 150 × 220 × 20 mm   ·   735 g
Valoda Vācu  
Redaktors Razavi-Far, Roozbeh
Redaktors Taylor, Matthew E.
Redaktors Wang, Boyu
Redaktors Yang, Qiang

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