For companies like Global Retail Corp., the switch to federated learning isn’t just about technology, it’s about finding a more efficient, secure, and effective way to harness the power of AI.

The AI Landscape: Shifting Paradigms. AI is a domain in constant evolution. At its forefront today are embedded machine learning and federated machine learning—technologies that provide an ...

Federated learning can help us operationalize this goal. For example, let's say 10 banks use their own teams, with their own models, trained on their own data, to identify illicit transactions. If ...

DynamoFL, a startup developing novel federated learning techniques, has raised a seed round of funding to fuel its quest to bring privacy-preserving AI training techniques to more industries.

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 ...

Flower, a startup building a platform for federated AI model training, has landed a $3.6 million investment from prominent backers. The reliance on public data — mostly web data — to train AI ...

Currently under testing in the Gboard on Android keyboard, Federated Learning lets smartphones collaboratively pick up a shared prediction model while keeping training data on the device.

Though Apple has been using differential privacy since 2017, it’s been combined with federated learning only as of iOS 13, which rolled out to the public in September of this year. In addition ...