{
"item_title" : "Privacy-Preserving Deep Learning",
"item_author" : [" Kwangjo Kim", "Harry Chandra Tanuwidjaja "],
"item_description" : "Introduction.- Definition and Classification.- Background Knowledge.- X-based Hybrid PPDL.- The Gap Between Theory and Application of X-based PPDL.- Federated Learning and Split Learning-based PPDL.- Analysis and Performance Comparison.- Attacks on DL and PPDL as the Possible Solutions.- Challenges and Future Work.",
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Privacy-Preserving Deep Learning : A Comprehensive Survey
Overview
Introduction.- Definition and Classification.- Background Knowledge.- X-based Hybrid PPDL.- The Gap Between Theory and Application of X-based PPDL.- Federated Learning and Split Learning-based PPDL.- Analysis and Performance Comparison.- Attacks on DL and PPDL as the Possible Solutions.- Challenges and Future Work.
This item is Non-Returnable
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Details
- ISBN-13: 9789811637636
- ISBN-10: 9811637636
- Publisher: Springer
- Publish Date: July 2021
- Dimensions: 9.21 x 6.14 x 0.19 inches
- Shipping Weight: 0.3 pounds
- Page Count: 74
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