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A privacy-preserving distributed filtering framework for NLP artifacts.

Md Nazmus SadatMd Momin Al AzizNoman MohammedSerguei PakhomovHongfang LiuXiaoqian Jiang
Published in: BMC medical informatics and decision making (2019)
This work demonstrates the feasibility of using homomorphic encryption to develop a secure and efficient multi-party protocol.
Keyphrases
  • randomized controlled trial
  • health information
  • big data
  • image quality
  • neural network
  • healthcare
  • artificial intelligence
  • computed tomography
  • machine learning
  • dual energy
  • contrast enhanced