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University of Illinois at Urbana-Champaign
A framework for privacy-preserving, distributed machine learning using gradient obfuscation
Abstract
dc:descriptionMade available in DSpace on 2018-03-02T19:59:44Z (GMT). No. of bitstreams: 2 PHADKE-THESIS-2017.pdf: 14510299 bytes, checksum: e357657487b88e1a0ee47863e6b7f0bc (MD5) LICENSE.txt: 4210 bytes, checksum: fc35d28054217b84ccd68356449c9d17 (MD5) Previous issue date: 2017-07-18
Degree
thesis:*- Name thesis:degree_name
- M.S.
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2018
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Phadke, Nishad Ashok
- Contributors dc:contributor
-
- Vaidya, Nitin H.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- Copyright 2017 Nishad Phadke
- Language dc:language
- en
Identifiers
dc:identifier.*- Handle dc:identifier
- http://hdl.handle.net/2142/99116
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/99116