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An approach called federated learning trains machine learning models on devices like phones and laptops, rather than requiring the transfer of private data to central servers.
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. Called federated learning, the approach trains learning models o