Federated and Transfer Learning
Springer International Publishing AG, 2022
185,50 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9783031117473
- ISBN-10
- 3031117476
- Publisher
- Springer International Publishing AG
- Year
- 2022
- Publication date
- 2022-10-01
- Pages
- 371
- Dimensions
- 235x155x