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

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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Public Training

Please see our public courses

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Provisional Upcoming Courses (Contact Us For More Information)

Federated Learning for Privacy-Preserving AI

2025-05-13 09:30
14 hours
Leeuwarden

Federated Learning for Privacy-Preserving AI

2025-05-27 09:30
14 hours
Groningen

Federated Learning for Privacy-Preserving AI

2025-06-10 09:30
14 hours
Zwolle

Federated Learning for Privacy-Preserving AI

2025-06-24 09:30
14 hours
Tilburg

Federated Learning for Privacy-Preserving AI

2025-07-08 09:30
14 hours
Eindhoven

Federated Learning for Privacy-Preserving AI

2025-07-22 09:30
14 hours
Maastricht

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