Course Outline

Introduction to Federated Learning

  • Overview of Federated Learning
  • Key concepts and benefits
  • Federated Learning vs. traditional machine learning

Data Privacy and Security in AI

  • Understanding data privacy concerns in AI
  • Regulatory frameworks and compliance (e.g., GDPR)
  • Introduction to privacy-preserving techniques

Federated Learning Techniques

  • Implementing Federated Learning with Python and PyTorch
  • Building privacy-preserving models using Federated Learning frameworks
  • Challenges in Federated Learning: communication, computation, and security

Real-World Applications of Federated Learning

  • Federated Learning in healthcare
  • Federated Learning in finance and banking
  • Federated Learning in mobile and IoT devices

Advanced Topics in Federated Learning

  • Exploring Differential Privacy in Federated Learning
  • Secure Aggregation and Encryption techniques
  • Future directions and emerging trends

Case Studies and Practical Applications

  • Case study: Implementing Federated Learning in a healthcare setting
  • Hands-on exercises with real-world datasets
  • Practical applications and project work

Summary and Next Steps

Requirements

  • Understanding of machine learning fundamentals
  • Basic knowledge of data privacy principles
  • Experience with Python programming

Audience

  • Privacy engineers
  • AI ethics specialists
  • Data privacy officers
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

Contact us for an exact quote and to hear our latest promotions

(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)

Need help picking the right course?

Upcoming Courses

Federated Learning for Privacy-Preserving AI

2026-01-26 09:30
14 hours
Malaga City Center

Federated Learning for Privacy-Preserving AI

2026-02-09 09:30
14 hours
Barcelona City

Federated Learning for Privacy-Preserving AI

2026-02-23 09:30
14 hours
Valencian Community

Federated Learning for Privacy-Preserving AI

2026-03-09 09:30
14 hours
Bilbao

Federated Learning for Privacy-Preserving AI

2026-03-23 09:30
14 hours
Madrid - Chamartín Business Area

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