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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

ML front-end frameworks

biblio

Visible to the public PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data

Submitted by grigby1 on Fri, 08/07/2020 - 3:48pm
  • machine learning as a service
  • Scalability
  • Resiliency
  • resilience
  • pubcrawl
  • privacy-preserving machine learning
  • privacy
  • PPML inference
  • PlaidML-HE
  • MLaaS
  • ML Service
  • ML kernels
  • ML front-end frameworks
  • AI
  • machine learning
  • learning (artificial intelligence)
  • inference mechanisms
  • Human Factors
  • Human behavior
  • Homomorphic encryption
  • encrypted data
  • deep learning kernels
  • data privacy
  • Cryptography
  • cryptographic primitives
  • compiler

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