University of Michigan Researchers Open-Source ‘FedScale’: a Federated Learning (FL) Benchmarking Suite with Realistic Datasets and a Scalable Runtime to Enable Reproducible FL Research on Privacy-Preserving Machine Learning

Federated learning (FL) is a new machine learning (ML) environment in which a logically centralized coordinator orchestrates numerous dispersed clients (e.g., cellphones or laptops) to train or assess a model collectively. It enables model training and assessment of end-user data while avoiding significant costs and privacy hazards associated with acquiring raw data from customers, with […]

The post University of Michigan Researchers Open-Source ‘FedScale’: a Federated Learning (FL) Benchmarking Suite with Realistic Datasets and a Scalable Runtime to Enable Reproducible …

ai paper summary ai shorts applications artificial intelligence benchmarking country datasets editors pick federated learning learning machine machine learning privacy research researchers scalable staff tech news technology university university of michigan usa