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Federated Learning’s Potential for Joint AI Development Efforts

Posted February 23, 2021 in Data Analytics & Digital Technologies
Curt Hall
Federated learning is an emerging distributed machine learning (ML) development method that allows different organizations to collaborate on artificial intelligence (AI) projects while protecting their sensitive data. Federated learning is currently seen as especially applicable in healthcare/medicine and banking/finance; however, I believe it will prove important for many heavily regulated industries seeking to develop AI applications.
About The Author
Curt Hall
Curt Hall is a Senior Consultant with Cutter Consortium’s Data Analytics & Digital Technologies and Business & Enterprise Architecture practices. He has extensive experience as an IT analyst covering technology trends, application development trends, markets, software, and services. Mr. Hall's expertise includes artificial intelligence (AI), cognitive systems, machine learning (ML), conversational computing, and advanced analytics. He… Read More
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