Handbook of Trustworthy Federated Learning
Springer International Publishing AG, 2024
264,50 €On orderDelivery: 2-3 weeks
This handbook aims to serve as a one-stop, reliable resource, including curated surveys and expository contributions on federated learning. First introduced in 2016, federated learning allows devices to collaboratively learn a shared model while keeping raw data localized, thus promising to protect data privacy.
- ISBN-13
- 9783031589225
- ISBN-10
- 303158922X
- Publisher
- Springer International Publishing AG
- Year
- 2024
- Publication date
- 2024-09-04
- Pages
- 428
- Dimensions
- 235x155x