Mena FN

Canada Backs Advanced Tokenization And Distributed Federated Learning Research With Over $3 Million In Funding

MONTREAL, QUEBEC, Oct 16, 2025 - (ACN Newswire) - T-RIZE Group and École de technologie supérieure (ÉTS) are proud to announce that the Industrial Research Chair in Tokenization, established in 2024 ...
InfoQ

Federated Learning: Rewards & Challenges of Distributed Private ML

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
InfoQ

Federated Machine Learning and Edge Systems

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Your Story

AI Terminologies 101: Federated Learning - A New Era of Privacy in AI

Federated Learning is a game-changing approach to machine learning, focusing on the decentralisation of data. This approach emphasises privacy preservation, which has become a key concern in the era ...
VentureBeat

Federated learning technique predicts hospital stay and patient mortality

Electronic medical records (EMRs) are a veritable treasure trove for data scientists, including those architecting AI to predict disease incidence, responses to treatment, and other patient outcomes.
Diginomica

Federated machine learning is coming - here's the questions we should be asking

With the introduction of Google's Tensor Flow federated, the hype around federated machine learning is surging. But there are important questions about data privacy, performance and cost that need ...
ascopubs.org

Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care

Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, ...