Happy Holiday weeks to you! For this, our penultimate weekly episode of the year, Shahin ….
HPC News Bytes 20251222: Sub-Nanosecond High Frequency Trading, Federated AI Learning at 3 National Labs, AI ‘Doomers’ Speak Out
Money Laundering Finally Meets Its Match – Federated Learning Will Change the Game
In this contributed article, Laurence Hamilton, Chief Commercical Officer, Consilient, discusses the next generation federated learning solution for financial crime detection. Such a solution will help enable banks and other financial institutions to detect high-risk entities and behaviors by sharing insights across different data environments and organizations.
What Is Federated Learning in Health Care? And How Should Health IT Teams Prepare?
In this contributed article, Ittai Dayan, co-founder and CEO of Rhino Health, believes that while traditional machine learning has huge potential for medical researchers, its major shortcoming is the vast amount of centralized data collection that’s required, and the privacy issues this creates. Federated learning has been suggested as a potential solution to this problem. This is a novel ML technique that is able to access data held across numerous decentralized servers (such as data held by individual hospitals), with the data never leaving these servers and remaining completely anonymous.
Using AI to Identify Brain Tumors with Federated Learning
Researchers at Intel Labs and the Perelman School of Medicine are using privacy-preserving technique called federated learning to train AI models that identify brain tumors. With federated learning, research institutions can collaborate on deep learning projects without sharing patient data. “AI shows great promise for the early detection of brain tumors, but it will require more data than any single medical center holds to reach its full potential,” said Jason Martin, principal engineer at Intel Labs.









