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Federated Learning in Financial Services: A Path to Secure AI - Responsible Technology and Intelligence
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Federated Learning in Financial Services: A Path to Secure AI - Responsible Technology and Intelligence
This book reviews the increasing challenges of data privacy and regulatory constraints in the financial industry, highlighting how federated learning (FL) enables secure AI-driven financial services. Federated architectures, secure multi-party computation, differential privacy, and homomorphic encryption are covered.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 29 de septiembre de 2026 |
| ISBN13 | 9781041135890 |
| Editores | Taylor & Francis Ltd |
| Páginas | 368 |
| Dimensiones | 150 × 220 × 20 mm · 585 g (Peso (estimado)) |
| Editor | Balas, Valentina E. (Aurel Vlaicu University of Arad and Romanian Academy of Scientists, Romania) |
| Editor | Dhiman, Gaurav (PSOU, India) |
| Editor | Gupta, Rashmi |
| Editor | Kumar, Jeetendra |
| Editor | Sharma, Suvarna |
