Course Code: flfin
Duration: 14 hours
Prerequisites:
  • Experience in finance or financial data analysis
  • Basic understanding of AI and machine learning
  • Familiarity with data privacy regulations

Audience

  • Financial data scientists
  • AI developers in finance
  • Data privacy officers in the financial sector
Overview:

Federated Learning is transforming the financial sector by enabling collaborative machine learning across institutions while maintaining data privacy. This course explores the applications of Federated Learning in finance, covering techniques for privacy-preserving AI, use cases in fraud detection, risk management, and regulatory compliance.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning techniques to enhance data privacy and collaborative AI in the financial industry.

By the end of this training, participants will be able to:

  • Understand the principles and benefits of Federated Learning in finance.
  • Implement Federated Learning models for privacy-preserving financial applications.
  • Analyze financial data collaboratively without compromising privacy.
  • Apply Federated Learning to real-world financial scenarios, such as fraud detection and risk management.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction to Federated Learning in Finance

  • Overview of Federated Learning concepts and benefits
  • Challenges in implementing Federated Learning in finance
  • Use cases of Federated Learning in the financial industry

Privacy-Preserving AI Techniques

  • Ensuring data privacy in Federated Learning models
  • Techniques for secure data aggregation and analysis
  • Compliance with financial data privacy regulations

Federated Learning Applications in Finance

  • Fraud detection using Federated Learning
  • Risk management and predictive analytics
  • Collaborative AI for regulatory compliance

Implementing Federated Learning in Financial Systems

  • Setting up Federated Learning environments
  • Integrating Federated Learning into existing financial workflows
  • Case studies of successful implementations

Future Trends in Federated Learning for Finance

  • Emerging technologies and methodologies
  • Scalability and performance optimization
  • Exploring future directions in Federated Learning

Summary and Next Steps

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