Dr. Maria Börner
Program Manager, Adap GmbH
The usage of AI models is increasing worldwide. However, traditional AI setups with central training in a cloud or a server have several disadvantages: leak of data privacy, high latency, complex infrastructure, and high energy consumption in data centers due to cooling. Federated learning brings AI training to the data and resolves these mentioned problems by design. We will answer questions as to what federated learning is, can it be used for your project, and how can it be implemented in your existing projects?