What is now Federated Learning and why is FL the next big thing?
While ML has become a quite powerful technology, its hunger for training data makes it hard to build ML models in a single machine. It is not unusual to see training data size in the order of hundreds of gigabytes to terabytes, such as in the Earth Observation domain. This has created the need to build ML models over distributed data over multiple storage nodes => read more here: