Zobrazeno 1 - 10
of 417
pro vyhledávání: '"Erik Elmroth"'
Publikováno v:
IEEE Access, Vol 12, Pp 171897-171910 (2024)
Anomaly detection plays a vital role in ensuring the security and reliability of edge clouds, which are decentralized computing environments with limited resources. However, the unique challenges of limited computing power and lack of edge-related la
Externí odkaz:
https://doaj.org/article/734c503048134f8da203834494d77203
Autor:
Eunil Seo, Erik Elmroth
Publikováno v:
IEEE Access, Vol 11, Pp 102669-102680 (2023)
As the demand for intelligent applications at the network edge grows, so does the need for effective federated learning (FL) techniques. However, FL often relies on non-identically and non-independently distributed local datasets across end devices,
Externí odkaz:
https://doaj.org/article/3f19a6ccebe04cb98c9eb133c1f2da66
Publikováno v:
IEEE Access, Vol 10, Pp 94677-94690 (2022)
Edge-driven software applications often deployed as online services in the cloud-to-edge continuum lack significant protection for services and infrastructures against emerging cyberattacks. Very-Short Intermittent Distributed Denial of Service (VSI-
Externí odkaz:
https://doaj.org/article/f1ee72229dde49c6a476bcbdcd453e9b
Autor:
Ahmed Ali-Eldin, Erik Elmroth
Publikováno v:
Communications in Transportation Research, Vol 1, Iss , Pp 100024- (2021)
Externí odkaz:
https://doaj.org/article/aa50b7ae5b634ffe918df57cafe9a730
Deep Reinforcement Learning for Resource Management in Blockchain-Enabled Federated Learning Network
Publikováno v:
IEEE Networking Letters. 4:137-141
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51c37a8a39440888699f3f44f41a2aef
https://doi.org/10.1109/lnet.2022.3173971
https://doi.org/10.1109/lnet.2022.3173971
Publikováno v:
IEEE Transactions on Cloud Computing. :1-17
In the age of data and machine learning, massive amounts of data produced throughout our society can be rapidly delivered to various applications through a broad spectrum of cloud services. However, the spectrum of applications has vastly different d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f95b99e05264187a80e10c971f1a9d85
https://doi.org/10.1109/tcc.2022.3188447
https://doi.org/10.1109/tcc.2022.3188447
Publikováno v:
2023 International Conference on Information Networking (ICOIN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dc0cbcde16ff92c1117c269f6f32adf
https://doi.org/10.1109/icoin56518.2023.10048937
https://doi.org/10.1109/icoin56518.2023.10048937
Publikováno v:
2022 IEEE/ACM 7th Symposium on Edge Computing (SEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d98cd06b7540c6ae8272be17df1454ed
https://doi.org/10.1109/sec54971.2022.00027
https://doi.org/10.1109/sec54971.2022.00027
Publikováno v:
2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f0c79154514960f0cf87744c7eac43c
https://doi.org/10.1109/icdcs54860.2022.00114
https://doi.org/10.1109/icdcs54860.2022.00114