Administrative information

Title	Federated Learning - Train deep models
Duration	150 min
Module	C
Lesson Type	Practical
Focus	Technical - Future AI
Topic	Advances in ML models through a HC lens - A result Oriented Study

Keywords

Federated Learning,Tensorflow,

Learning Goals

Understand how to train models using the Federated Learning framework
Understand how local data distribution affects the federated learning
Becoming familiar with a high-level framework like TensorFlow

Expected Preparation

Learning Events to be Completed Before

Lecture: Theory of Federated Learning (Profiling and Personalization)

Obligatory for Students

Students should have a basic understanding of deep learning concepts and techniques
Basic understanding of deep learning training (SGD, backpropagation algorithm) and evaluation techniques

Optional for Students

A bit of knowledge of the TensorFlow framework and Python programming language

References and background for students

Recommended for Teachers

Lesson materials

The materials of this learning event are available under CC BY-NC-SA 4.0.

Instructions for Teachers

Provide a hands-on lecture where students can learn from guided exercises
Propose pop-up quizzes

Outline

Duration	Description	Concepts	Activity
20 min	Introduction to the framework: how to code a simple federated learning system	Tools introduction	Introduction to main tools
60 min	Federated Training: the easy way. How to apply train models with federated learning based on iid local data	Federated Average	Practical session and working examples
60 min	Federated training: the hard way. How does heterogeneity affect Federated Average and what can we do	Challenges connected to Federated Learning	Practical session and working examples
10 min	Conclusion, questions and answers	Summary	Conclusions

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.

The materials of this learning event are available under CC BY-NC-SA 4.0

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities