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.
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