Virtual assortment of user devices provides a realistic training environment for distributed machine learning, protects privacy by learning where data lives
A new attack discovered by the University of Michigan and NASA exploits a trusted network technology to create unexpected and potentially catastrophic behavior
The biggest benchmarking data set to date for a machine learning technique designed with data privacy in mind has been released open source by researchers at the University of Michigan.