Membership Mappings for Practical Secure Distributed Deep Learning-Reference-Cited by-同舟云学术

Membership Mappings for Practical Secure Distributed Deep Learning

Published:2023-08 Issue:8 Volume:31 Page:2617-2631
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Kumar Mohit¹^ORCID,Zhang Weiping²^ORCID,Fischer Lukas³^ORCID,Freudenthaler Bernhard³^ORCID

Affiliation:

1. Software Competence Center Hagenberg, Austria and the Faculty of Computer Science and Electrical Engineering, University of Rostock, Rostock, Germany

2. School of Software, Northwestern Polytechnical University, Taicang, China

3. Software Competence Center, Hagenberg, Austria

Funder

Austrian Research Promotion Agency

FFG COMET-Modul S3AI

FFG Sub-Project PETAI

FFG Grant PRIMAL

EU Horizon 2020 Project SERUMS

BMK

Bundesministerium für Digitalisierung und Wirtschaftsstandort

Province of Upper Austria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/10208116/10012502.pdf?arnumber=10012502

Reference34 articles.

1. Faster Fully Homomorphic Encryption: Bootstrapping in Less Than 0.1 Seconds

2. FHEW: Bootstrapping Homomorphic Encryption in Less Than a Second

3. Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data

4. TFHE: Fast fully homomorphic encryption library;chillotti,2016

5. Faster Packed Homomorphic Operations and Efficient Circuit Bootstrapping for TFHE

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