Unlocking Privacy with Homomorphic Encryption in Machine Learning π
Discover how homomorphic encryption enables secure computation on encrypted data, revolutionizing privacy-preserving machine learning techniques.

Intel Newsroom
3.6K views β’ Jan 16, 2020

About this video
Homomorphic encryption (HE) is a privacy-preserving #MachineLearning technique that allows computation on encrypted data. The vision is to lead the homomorphic encryption transformation by providing advanced HE #technology on #Intel architecture, allowing customers to gain valuable insights while protecting private and sensitive data.
#Innovation #Data #AI
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#Innovation #Data #AI
About Intel Newsroom
Intel Newsroom brings you the latest news and updates on world-changing technology that enriches the lives of everyone on Earth. Catch up on the latest innovations in client computing, artificial intelligence, security, data centers, international news and more. Watch recaps and replays from industry events where Intel has a major role, such as Mobile World Congress (MWC), Intel Innovation, the Consumer Electronics Show (CES) and others.
Connect with Intel Newsroom
Subscribe now to Intel Newsroom on YouTube: https://www.youtube.com/user/intelnewsroom
Visit the Intel Newsroom: https://www.intel.com/content/www/us/en/newsroom/home.html
Follow @IntelNews on Twitter: https://twitter.com/intelnews
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Video Information
Views
3.6K
Duration
0:37
Published
Jan 16, 2020
User Reviews
3.8
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