The up-coming technology such as Federated Learning will change the responsibility of storing personal data radically ...

In a recent study published in The Lancet Digital Health, a group of researchers developed and evaluated a scalable, privacy-preserving federated learning solution using low-cost microcomputing for ...

Federated learning represents a paradigm shift in machine learning by enabling the collaborative training of models across multiple distributed nodes without requiring centralised data collection.

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a fundamental challenge: how to learn from data without compromising privacy ...

By bringing the training of ML models to users, organizations can advance their AI ambitions while maintaining data security.

The Hong Kong Applied Science and Technology Research Institute (ASTRI) joins forces with tech-embracing companies to leverage a privacy-preserving technology, called “Federated Learning”, to develop ...

Data privacy regulations like GDPR, the CCPA and HIPAA present a challenge to training AI systems on sensitive data, like financial transactions, patient health records and user device logs.

To get started: Data is the New Gold, but Privacy is the Vault! The data, and more specifically, customer data, is everything in finance. Whether you've seen it at a ...