2023
DOI: 10.3390/app13042713
|View full text |Cite
|
Sign up to set email alerts
|

Distributed Online Multi-Label Learning with Privacy Protection in Internet of Things

Abstract: With the widespread use of end devices, online multi-label learning has become popular as the data generated by users using the Internet of Things devices have become huge and rapidly updated. However, in many scenarios, the user data are often generated in a geographically distributed manner that is often inefficient and difficult to centralize for training machine learning models. At the same time, current mainstream distributed learning algorithms always require a centralized server to aggregate data from d… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 40 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?