Toward Trustworthy and Privacy-Preserving Federated Deep Learning Service Framework for Industrial Internet of Things
Author:
Affiliation:
1. School of Computing Technologies, RMIT University, Melbourne, VIC, Australia
2. School of Computer Science, University of Oklahoma, Norman, OK, USA
3. Bosch Engineering, Farmington Hills, MI, USA
Funder
Australian Research Council Discovery Project
Imam Abdulrahman Bin Faisal University
RMIT University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/9989328/09903398.pdf?arnumber=9903398
Reference33 articles.
1. Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms
2. Multi-grade brain tumor classification using deep CNN with extensive data augmentation
3. Privacy-Preserving Federated Learning Framework Based on Chained Secure Multiparty Computing
4. Anonymous and Privacy-Preserving Federated Learning With Industrial Big Data
5. Privacy-Preserving Federated Depression Detection from Multi-Source Mobile Health Data
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