Federated Learning in Finance : Unlocking Privacy-Preserving and Cyber Resilience using AI (Hardcover)

Chapter 1: Regulatory Challenges and Compliance in Federated Learning for Financial Applications. Chapter 2: The Mechanism of Federated Learning. Chapter 3: Federated Learning for Fraud Detection and Risk Mitigation in Financial Systems. Chapter 4: Cybersecurity Vulnerabilities in Federated Learning. Chapter 5: Zero Trust Principles in AI-Driven Architectures: Security by Design. Chapter 6: Data Poisoning and Adversarial Attacks in Federated Learning. Chapter 7: Securing Digital Payments and Transactions Using Federated Learning. Chapter 8: Blockchain and Federated Learning. Chapter 9: Cyber Resilience Through Adaptive Federated Learning. Chapter 10: Quantum Threats and Federated Learning. Chapter 11: Next-Gen and Autonomous Federated Systems. Chapter 12: A Roadmap for Federated Learning Adoption. Chapter 13: Cyber Resilience in Sports Organisations: Federal Learning for Financial, Fan, and Athlete Data Security.