Apple Reveals Design of Its On-Device ML System for Federated Evaluation and Tuning
Apple has laid out the design characteristics of a new generic system that enables federated evaluation and tuning (FE&T) systems on end-user devices.
Tag: Federated Learning
NVIDIA & Mass General Brigham Hospital Federated Learning Project Predicts COVID-19 Patient Oxygen Need Using 20 Days of Data From 20 Hospitals
NVIDIA, Mass General Brigham and 20 global hospitals launch federated learning initiative EXAM to build AI model for COVID-19 patient oxygen need prediction
Dr. Max Welling on Federated Learning and Bayesian Thinking
Dr. Welling shares his views on FL, the importance of distributed learning, and the Bayesian aspects of the domain.
Federated Learning: The Future of Distributed Machine Learning
In 2017 Google introduced Federated Learning (FL), “a specific category of distributed machine learning approaches which trains machine learning models using decentralized data residing on end devices such as mobile phones.” A new Google paper has now proposed a scalable production system for federated learning to enable increasing workload and output through the addition of resources such as compute, storage, bandwidth, etc.