Name
Title | ||
|---|---|---|
Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning. |
Abstract | ||
|---|---|---|
Although the ability to collect, collate, and analyze the vast amount of data generated from cyber-physical systems and Internet of Things devices can be beneficial to both users and industry, this process has led to a number of challenges, including privacy and scalability issues. The authors present a hybrid framework where user-centered edge devices and resources can complement the cloud for pr... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MC.2018.2381113 | Computer |
Keywords | Field | DocType |
Cloud computing,Feature extraction,Machine learning,Task analysis,Data analysis,Data privacy | Edge computing,Data science,Data analysis,Computer security,Computer science,Cyber-physical system,Edge device,Information privacy,Analytics,Cloud computing,Scalability | Journal |
Volume | Issue | ISSN |
51 | 5 | 0018-9162 |
Citations | PageRank | References |
3 | 0.41 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seyed Ali Ossia | 1 | 23 | 2.09 |
| Ali Shahin Shamsabadi | 2 | 21 | 5.12 |
| Ali Taheri | 3 | 30 | 2.18 |
| Hamid R. Rabiee | 4 | 336 | 41.77 |
| Hamed Haddadi | 5 | 223 | 22.94 |