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.
Advisor
Federated Learning’s Potential for Joint AI Development Efforts
By Curt Hall
Posted February 23, 2021 | Technology |
About The Author
Curt Hall is a Cutter Expert and a member of Arthur D. Little’s AMP open consulting network. He has extensive experience as an IT analyst covering technology and application development trends, markets, software, and services. Mr. Hall's expertise includes artificial intelligence (AI), machine learning (ML), intelligent process automation (IPA), natural language processing (NLP) and conversational computing, blockchain for business, and customer… Read More
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