Federated and transfer learning
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 a...
Full description
Saved in:
| Other Authors: |
Razavi-Far, Roozbeh,, Wang, Boyu,, Taylor, Matthew E.,, Yang, Qiang, 1961-, SpringerLink (Online service) |
| Format: |
eBook
|
| Language: |
English
|
| Published: |
Cham, Switzerland :
Springer,
[2023]
|
| Physical Description: |
1 online resource (1 volume) : illustrations (black and white, and color).
|
| Series: |
Adaptation, learning and optimization ;
v. 27.
|
| Subjects: |
|