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Course Outline
Introduction to Federated Learning
- Overview of traditional AI training vs. federated learning
- Key principles and advantages of federated learning
- Use cases of federated learning in Edge AI applications
Federated Learning Architecture and Workflow
- Understanding client-server and peer-to-peer federated learning models
- Data partitioning and decentralized model training
- Communication protocols and aggregation strategies
Implementing Federated Learning with TensorFlow Federated
- Setting up TensorFlow Federated for distributed AI training
- Building federated learning models using Python
- Simulating federated learning on edge devices
Federated Learning with PyTorch and OpenFL
- Introduction to OpenFL for federated learning
- Implementing PyTorch-based federated models
- Customizing federated aggregation techniques
Optimizing Performance for Edge AI
- Hardware acceleration for federated learning
- Reducing communication overhead and latency
- Adaptive learning strategies for resource-constrained devices
Data Privacy and Security in Federated Learning
- Privacy-preserving techniques (Secure Aggregation, Differential Privacy, Homomorphic Encryption)
- Mitigating data leakage risks in federated AI models
- Regulatory compliance and ethical considerations
Deploying Federated Learning Systems
- Setting up federated learning on real edge devices
- Monitoring and updating federated models
- Scaling federated learning deployments in enterprise environments
Future Trends and Case Studies
- Emerging research in federated learning and Edge AI
- Real-world case studies in healthcare, finance, and IoT
- Next steps for advancing federated learning solutions
Summary and Next Steps
Requirements
- Strong understanding of machine learning and deep learning concepts
- Experience with Python programming and AI frameworks (PyTorch, TensorFlow, or similar)
- Basic knowledge of distributed computing and networking
- Familiarity with data privacy and security concepts in AI
Audience
- AI researchers
- Data scientists
- Security specialists
21 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 €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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