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Handbook of Trustworthy Federated Learning - Springer Optimization and Its Applications 2025 edition
Handbook of Trustworthy Federated Learning - Springer Optimization and Its Applications
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.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | September 4, 2024 |
| ISBN13 | 9783031589225 |
| Publishers | Springer International Publishing AG |
| Pages | 428 |
| Dimensions | 150 × 220 × 20 mm · 789 g |
| Language | German |
| Editor | Phan, Hai N. |
| Editor | Thai, My T. |
| Editor | Thuraisingham, Bhavani |