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Course Outline

Review of Core Federated Learning Concepts

  • Refresher on foundational Federated Learning methodologies
  • Key challenges in Federated Learning: communication, computation, and privacy
  • Introduction to advanced Federated Learning approaches

Optimization Algorithms for Federated Learning

  • Overview of optimization hurdles in Federated Learning
  • Advanced algorithms: Federated Averaging (FedAvg), Federated SGD, and beyond
  • Implementing and tuning optimization algorithms for large-scale federated systems

Handling Non-IID Data in Federated Learning

  • Analyzing non-IID data and its impact on Federated Learning
  • Strategies for managing non-IID data distributions
  • Case studies and real-world use cases

Scaling Federated Learning Systems

  • Challenges associated with scaling Federated Learning
  • Scaling techniques: architectural design, communication protocols, and more
  • Deploying large-scale Federated Learning applications

Advanced Privacy and Security Considerations

  • Privacy-preserving methods in advanced Federated Learning
  • Secure aggregation and differential privacy
  • Ethical implications of large-scale Federated Learning

Case Studies and Practical Applications

  • Case study: Large-scale Federated Learning in the healthcare sector
  • Hands-on exercises with advanced Federated Learning scenarios
  • Implementation of real-world projects

Future Trends in Federated Learning

  • Emerging research directions in the field
  • Technological advancements and their influence on Federated Learning
  • Exploring future opportunities and challenges

Summary and Next Steps

Requirements

  • Hands-on experience with machine learning and deep learning methodologies
  • A solid grasp of fundamental Federated Learning principles
  • Advanced proficiency in Python programming

Target Audience

  • Senior AI researchers
  • Machine learning engineers
  • Data scientists
 21 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Upcoming Courses

Advanced Federated Learning Techniques

2026-10-06 09:30
21 hours
Empire Tower
94820 THB (Online)
94820 THB (Classroom)

Advanced Federated Learning Techniques

2026-10-20 09:30
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Advanced Federated Learning Techniques

2026-11-03 09:30
21 hours
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94820 THB (Online)
94820 THB (Classroom)

Advanced Federated Learning Techniques

2026-11-17 09:30
21 hours
Empire Tower
94820 THB (Online)
94820 THB (Classroom)

Advanced Federated Learning Techniques

2026-12-01 09:30
21 hours
Empire Tower
94820 THB (Online)
94820 THB (Classroom)

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