Federated Learning in Finance : Unlocking Privacy-Preserving and Cyber Resilience using AI
Book Details
Format
Hardback or Cased Book
ISBN-10
1041115105
ISBN-13
9781041115106
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 12th, 2026
Print length
326 Pages
Weight
790 grams
Ksh 22,500.00
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Federated Intelligence: Unlocking Privacy-Preserving and Cyber Resilience using AI in the Finance Industry" is an edited volume designed to explores how Federated Intelligence can help the finance industry defend against cyber threats, detect fraud, and comply with regulations.
Federated Learning in Finance: Unlocking Privacy-Preserving and Cyber Resilience using AI is an edited volume designed to explore how Federated Intelligence can help the finance industry defend against cyber threats, detect fraud, and comply with regulations, all while keeping sensitive financial data secure and distributed. This book provides a comprehensive roadmap for integrating federated learning (FL) and artificial intelligence (AI)-driven cyber security into financial ecosystems. Unlike conventional AI systems that require data centralization, Federated Intelligence enables financial institutions to collaborate securely, train powerful AI models, and combat cyber threats.
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