Rather than moving sensitive data to LLM providers or building isolated small language models (SLMs), federated learning enables organizations to train LLMs using their private data where it resides.

Federated learning lets multiple organizations work together to train a shared AI model without transferring or exposing their raw data. Instead of bringing data to a central location, the model goes ...

Funding led by AlleyCorp with continued support from existing institutional investors and select new backersBOSTON, May 22, 2025 (GLOBE NEWSWIRE) -- Rhino Federated Computing, the leading platform for ...

The Group National Conference brought together leaders from the Pronto Network, Federated and The Alliance. The event ...

Instead of bringing the data to the machine learning model, Federated Learning brings the machine learning model to the data. In this way, the training of the models is broken down into ...

In the aftermath of World War II, a significant milestone was reached as the New Zealand Farmers Union and the Sheep Owners’ Federated merged into one organisation: Federated Farmers.