Related Books
Language: en
Pages: 207
Pages: 207
Type: BOOK - Published: 2021-06-11 - Publisher: Springer Nature
This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. Th
Language: en
Pages: 291
Pages: 291
Type: BOOK - Published: 2020-11-25 - Publisher: Springer Nature
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applicati
Language: en
Pages: 307
Pages: 307
Type: BOOK - Published: 2020-06-04 - Publisher: John Wiley & Sons
Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what a
Language: en
Pages: 309
Pages: 309
Type: BOOK - Published: 2024-12-30 - Publisher: CRC Press
Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows orga
Language: en
Pages: 226
Pages: 226
Type: BOOK - Published: 2021-06-23 - Publisher:
The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learn