prenode values innovation: we believe that new approaches and technologies explored in academia enable new opportunities in the field of AI and machine learning. For an active exchange on current trends and discoveries, academic cooperation plays an important role. This helps to boost knowledge on both sides – we use this knowledge to further improve our offerings and services, such as our software mlx.
Among others, we actively collaborate with the Critical Information Infrastructures research group at the KIT lead by professor Ali Sunyaev. We are exchanging know-how on differential privacy for ensuring security of data sets. A conjoint master’s thesis further explores model privacy risks in Federated Learning systems.
Interested in a cooperation with prenode? Contact us.