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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
MarkTechPost www.marktechpost.com
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 […]
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