Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yunseok Kwak"'
Autor:
Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim, Hyunhee Cho, Jihong Park, Minseok Choi, Soyi Jung, Joongheon Kim
Publikováno v:
ICT Express, Vol 9, Iss 3, Pp 486-491 (2023)
Although deep learning (DL) has already become a state-of-the-art technology for various data processing tasks, data security and computational overload problems often arise due to their high data and computational power dependency. To solve this pro
Externí odkaz:
https://doaj.org/article/636e228595e04231b713f26c6b87b245
Autor:
Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim
This paper aims to integrate two synergetic technologies, federated learning (FL) and width-adjustable slimmable neural network (SNN) architectures. FL preserves data privacy by exchanging the locally trained models of mobile devices. By adopting SNN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a338bcf6a8ede1943ed99088ce72248e
http://urn.fi/urn:nbn:fi-fe2023021026716
http://urn.fi/urn:nbn:fi-fe2023021026716
Autor:
Won Joon Yun, Yunseok Kwak, Jae Pyoung Kim, Hyunhee Cho, Soyi Jung, Jihong Park, Joongheon Kim
In recent years, quantum computing (QC) has been getting a lot of attention from industry and academia. Especially, among various QC research topics, variational quantum circuit (VQC) enables quantum deep reinforcement learning (QRL). Many studies of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b03dd7135bf8aa3b24de33b92f704a3
Publikováno v:
2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN).
Quantum deep learning is a research field for the use of quantum computing techniques for training deep neural networks. The research topics and directions of deep learning and quantum computing have been separated for long time, however by discoveri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::798fae389e73d196bc410ea2cef74502
https://doi.org/10.1109/icufn49451.2021.9528698
https://doi.org/10.1109/icufn49451.2021.9528698
The emergence of quantum computing enables for researchers to apply quantum circuit on many existing studies. Utilizing quantum circuit and quantum differential programming, many research are conducted such as \textit{Quantum Machine Learning} (QML).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d635b00ba771cc846681e3097fefd438
http://arxiv.org/abs/2108.06849
http://arxiv.org/abs/2108.06849
Publikováno v:
APWCS
In beyond 5G and 6G network scenarios, the use of satellites has been actively discussed for extending target monitoring areas, even for extreme circumstances, where the monitoring functionalities can be realized due to the usage of millimeter-wave w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cef8954f3c34f4e22e5f51ce6dc5aac8
https://doi.org/10.1109/apwcs50173.2021.9548770
https://doi.org/10.1109/apwcs50173.2021.9548770
Autor:
Kwak, Yunseok, Yun, Won Joon, Kim, Jae Pyoung, Cho, Hyunhee, Park, Jihong, Choi, Minseok, Jung, Soyi, Kim, Joongheon
Publikováno v:
In ICT Express June 2023 9(3):486-491
Autor:
GEMEINHARDT, FELIX1 felix.gemeinhardt@jku.at, GARMENDIA, ANTONIO2 antonio.garmendia@uam.es, WIMMER, MANUEL1 manuel.wimmer@jku.at, WEDER, BENJAMIN3 benjamin.weder@iaas.uni-stuttgart.de, LEYMANN, FRANK3 frank.leymann@iaas.uni-stuttgart.de
Publikováno v:
ACM Computing Surveys. Mar2024, Vol. 56 Issue 3, p1-36. 36p.
Federated Learning: Theory and Practi ce provides a holisti c treatment to federated learning as a distributed learning system with various forms of decentralized data and features. Part I of the book begins with a broad overview of opti mizati on fu