Paper Info
Title
Attacking and Protecting Data Privacy in Edge-Cloud Collaborative Inference Systems
Abstract
Benefiting from the advance of deep learning (DL) technology, Internet-of-Things (IoT) devices and systems are becoming more intelligent and multifunctional. They are expected to run various DL inference tasks with high efficiency and performance. This requirement is challenged by the mismatch between the limited computing capability of edge devices and large-scale deep neural networks. Edge–cloud...
Year
DOI
Venue
2021
10.1109/JIOT.2020.3022358
IEEE Internet of Things Journal
Keywords
DocType
Volume
Cloud computing,Collaboration,Data privacy,Machine learning,Privacy,Internet of Things,Performance evaluation
Journal
8
Issue
ISSN
Citations 
12
2327-4662
2
PageRank 
References 
Authors
0.37
0
3
Name
Order
Citations
PageRank
Zecheng He1255.05
Tianwei Zhang2557.65
Ruby Lee32460261.28