Apheris provides secure and governed access to data for AI and analytics, serving leading pharmaceutical companies as well as major hospitals.

Artificial intelligence can play a significant role in enhancing the security and privacy disciplines, but governance and ...

As these platforms mature, we can expect to see increasingly sophisticated applications in fields such as healthcare, finance ...

AP4Fed is a Federated Learning platform built on top of Flower, an open-source Python library designed to simplify the development of Federated Learning systems. AP4Fed enhances this foundation with ...

The design of Flower is based on a few guiding principles: Customizable: Federated learning systems vary wildly from one use case to another. Flower allows for a wide range of different configurations ...

Sadly, Google has ditched Thread here. Thread is one of Matter's main wireless protocols, but it was originally developed for the Nest Learning Thermostat. A version of Thread has been on every ...

To better combat fraud in cross-border payments, Swift, the global provider of secure financial messaging services, is working with Google Cloud to develop anti-fraud technologies that use advanced AI ...

Federated edge learning (FEEL) emerges as a vital enabler of this vision by leveraging the sensing, communication, and computation capabilities of geographically dispersed edge devices to ...

is working with Google Cloud to develop anti-fraud technologies that use advanced AI and federated learning. In the first half of 2025, Swift plans to roll out a sandbox with synthetic data to ...

Global payments messaging network Swift has partnered with Google Cloud to develop anti-fraud technologies using advanced artificial intelligence (AI) and federated learning. The partnership aims to ...

Abstract: As a paradigm of distributed machine learning, federated learning typically requires all edge devices to train a complete model locally. However, with the increasing scale of artificial ...