You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
|
---|---|
Chapter number | 9 |
Book title |
High Performance Computing
|
Published by |
Springer, Cham, January 2021
|
DOI | 10.1007/978-3-030-68035-0_9 |
Book ISBNs |
978-3-03-068034-3, 978-3-03-068035-0
|
Authors |
Pulido-Gaytan, Luis Bernardo, Tchernykh, Andrei, Cortés-Mendoza, Jorge M., Babenko, Mikhail, Radchenko, Gleb |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 19% |
Unspecified | 1 | 5% |
Other | 1 | 5% |
Student > Bachelor | 1 | 5% |
Lecturer | 1 | 5% |
Other | 2 | 10% |
Unknown | 11 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 29% |
Engineering | 2 | 10% |
Unspecified | 1 | 5% |
Unknown | 12 | 57% |