When Deep Learning Should Be Decentralized: Researcher Presents Key Considerations For DDL

When Deep Learning Should Be Decentralized: Researcher Presents Key Considerations For DDL, updated 10/6/23, 6:50 AM

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When Deep Learning Should Be Decentralized:
Discover Key Considerations For DDL
Should deep
learning go the way
of blockchain and
decentralize?
One technologist is
tempering all the hype
surrounding
decentralization by giving
key considerations in his
latest article
Dr. Wright explains that
decentralizing deep learning
can improve security,
transparency, and
accessibility, but there are
several challenges to
consider.
As researchers explore integrating
decentralized deep learning across
application areas, he cautions
against unrealistic expectations.
He notes that clear rationale criteria
are needed to determine when
decentralized deep learning is truly
the best design solution.
He has included four
inquiries to help
determine whether or
not DDL should be
considered.
Dr. Wright brings a diverse background
spanning technology, business, and law to
his perspectives on decentralized artificial
intelligence.
Learn more at:
https://www.drstevenawright.com/why-
decentralize-deep-learning/