Federated learning starts with a base machine learning model in the cloud server. This model is either trained on public data (e.g., Wikipedia articles or the ImageNet dataset) ...

Federated learning meets these requirements while offering three main advantages: Reduced infrastructure and storage costs: AI's appetite for training data is immense, and the costs of data transfers ...

In response to the Anti-Money Laundering (AML) Act of 2020, the financial industry is exploring the use of artificial intelligence (AI) and machine learning (ML) for AML strategies, recognizing ...

Federated learning lets a network of participants collaboratively train algorithms on data while keeping each stakeholder’s data within its home location. Instead of sending data to a single ...

Last June, 10 major pharmaceutical companies — Amgen, Astellas, AstraZeneca, Bayer, Boehringer Ingelheim, GSK, Institut De Recherches Servier, Janssen, Merck, and Novartis — inked an agreement ...