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Mendeley readers
Chapter title |
FHE-Compatible Batch Normalization for Privacy Preserving Deep Learning
|
---|---|
Chapter number | 27 |
Book title |
Data Privacy Management, Cryptocurrencies and Blockchain Technology
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00305-0_27 |
Book ISBNs |
978-3-03-000304-3, 978-3-03-000305-0
|
Authors |
Alberto Ibarrondo, Melek Önen, Ibarrondo, Alberto, Önen, Melek |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 27% |
Student > Master | 3 | 14% |
Student > Bachelor | 3 | 14% |
Student > Doctoral Student | 2 | 9% |
Unspecified | 1 | 5% |
Other | 2 | 9% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 45% |
Engineering | 4 | 18% |
Medicine and Dentistry | 1 | 5% |
Unspecified | 1 | 5% |
Unknown | 6 | 27% |