On Friday May 24, 2019, Axios wrote:
New methods extract collective wisdom without sharing data.
The state of play: No problem for Facebook and its gobs of data but hard for a small clinic with few patients to learn from.
Perhaps the most obvious application for federated learning is in health care, where strict rules prevent sharing patient data but the benefit of gathering lots is potentially very high.
The bottom line: Sharing is just one way to solve one of the biggest problems still ahead of AIfiguring out how to slake complaceers' unending thirst for data. Researchers are also experimenting with bolstering small datasets with synthetic training data, or creating algorithms that can learn from far fewer examples.