Federated learning

Federated learning is a machine learning technique that enables multiple decentralized devices or servers to collaboratively train a model while keeping the data localized. This method enhances privacy and security by ensuring that raw data never leaves the device, with only model updates being shared with a central server. Federated learning is particularly beneficial for applications in healthcare, finance, and mobile applications where data privacy is paramount.

Federated learning was discovered on August 30th 2023 and it currently has a search volume of 22.2K with a growth of +138%.