• Broaden knowledge of Privacy Preserving ML methods and their application in insurance industry. 

• Popularize Federated Learning Machine Learning techniques. 

• Increase awareness of the industry on how the technology might change the way insurance works. 

• Understand potential difficulties and risks in adopting FL technology in insurance and attempt to address those issues. 

• Understand when it is worth collaborating and when companies should rely on their own data.