1. Introduction

2. Background concepts on Federated Learning threats

3. Adversarial Attacks in Federated Learning: Taxonomies

4. Defence methods against adversarial attacks: Taxonomy

5. Experimental study

6. Guidelines for the application of defences against adversarial attacks

7. Lessons learned

8. Challenges of addressing federated learning threats

9. Conclusions