In an era where AI is transforming every business, privacy concerns become one of the most relevant issues in the industry. Various use cases present the challenge of data being scattered across different geographies while regulations may prevent data assets to be consolidated into a single location for analytics tasks. Federated Learning is the natural response to this issue, allowing to train models from isolated datasets without moving the data from their original location.

This presentation provides an overview of the emerging field of Federated Learning (FL). Some topics to be covered are (1) how FL works, (2) industry use cases, (3) available ML algorithms, (4) some open source technologies available, and (5) IBM's vision on FL.

Join me in this on demand webinar, Federated Learning: DSE Presents Chat with the Lab. 

Share any of your questions below and you can watch the on demand recording here. 

Thanks, 

Hi everyone, 
You can watch the on demand recording here and share any of  your questions below. 

Thanks,