These code snippets are based on the Asynchronous Federated Learning Tutorial from the OpenMined github repository which trains a model on MNIST handwritten digit recognition data.

Federated Learning solves two big problems of data analysis: improved qualitative analyses for society and safeguarding of one's privacy.

Innovation Reinventing Anti-Money Laundering: How Federated Learning Can Power Fund Diversion Detection And GDPR Compliance By Chandra Gundlapalli, Forbes Councils Member.

Federated learning’s popularity is rapidly increasing because it addresses common development-related security concerns.

In research published in Nature Medicine today, AI biotech company Owkin has demonstrated for the first time that federated learning (FL) can be used to train deep learning models on data from ...

As enterprises struggle to balance AI capabilities against data privacy concerns, federated learning provides the best of both worlds.

Innovation From The Cloud To The Edge: Federated Machine Learning Is Moving AI Closer To Where It Is Used By Vikram Gupta, Forbes Councils Member.

Flower, a startup building a platform for federated AI model training, has landed a $3.6 million investment from prominent backers.