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Mendeley readers
Chapter title |
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
|
---|---|
Chapter number | 40 |
Book title |
Computer Vision – ECCV 2022
|
Published by |
Springer, Cham, November 2022
|
DOI | 10.1007/978-3-031-20056-4_40 |
Book ISBNs |
978-3-03-120055-7, 978-3-03-120056-4
|
Authors |
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha, Han, Sungwon, Park, Sungwon, Wu, Fangzhao, Kim, Sundong, Wu, Chuhan, Xie, Xing, Cha, Meeyoung |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 20% |
Student > Ph. D. Student | 9 | 18% |
Student > Doctoral Student | 3 | 6% |
Researcher | 1 | 2% |
Professor > Associate Professor | 1 | 2% |
Other | 0 | 0% |
Unknown | 25 | 51% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 27% |
Engineering | 6 | 12% |
Mathematics | 1 | 2% |
Earth and Planetary Sciences | 1 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 0 | 0% |
Unknown | 27 | 55% |