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Optimization could cut the carbon footprint of AI training by up to 75%

A new way to optimize the training of deep learning models, a rapidly evolving tool for powering artificial intelligence, could slash AI's energy demands. ....

United States , Mosharaf Chowdhury , Zhenning Yang , National Science Foundation , University Of Michigan , International Conference On Learning Representations Workshop , Kwanjeong Educational Foundation , Networked Systems Design , Jae Won Chung , Jie You , International Conference , Learning Representations ,

Federated learning uses the data right on our devices

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. ....

United States , Mosharaf Chowdhury , International Conference On Machine , National Science Foundation , University Of Michigan , Fan Lai , International Conference , Machine Learning ,

University of Michigan: Open source platform enables research on privacy-preserving machine learning

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 ....

United States , Mosharaf Chowdhury , International Conference On Machine , University Of Michigan , Benchmarking Model , System Performance , Federated Learning , Fan Lai , International Conference , Machine Learning ,

Open source platform enables research on privacy-preserving machine learning

Open source platform enables research on privacy-preserving machine learning
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United States , Mosharaf Chowdhury , Yinwei Dai , Harsha Madhyastha , Jiachen Liu , Sanjay Singapuram , Xiangfeng Zhu , International Conference On Machine , National Science Foundation , University Of Michigan , Fan Lai , International Conference , Machine Learning ,