Federated learning : privacy and incentive / Qiang Yang, Lixin Fan, Han Yu (eds.)
This book provides a comprehensive and self-contained introduction to Federated Learning, ranging from the basic knowledge and theories to various key applications, and the privacy and incentive factors are the focus of the whole book. This book is timely needed since Federated Learning is getting p...
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Online Access: |
Full Text (via Springer) |
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Other Authors: | , , |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer,
[2020]
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Series: | Lecture notes in computer science ;
12500. Lecture notes in computer science. Lecture notes in artificial intelligence. |
Subjects: |
Internet
Full Text (via Springer)Online
Call Number: |
Q325.5
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Q325.5 | Available |