Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Shinan Song"'
Publikováno v:
Mathematics, Vol 12, Iss 20, p 3229 (2024)
Federated Learning (FL) enables decentralized data utilization while maintaining edge user privacy, but it faces challenges due to statistical heterogeneity. Existing approaches address client drift and data heterogeneity issues. However, real-world
Externí odkaz:
https://doaj.org/article/b23a9f5f1c2f4d36991260d04811f0a0
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Object detection has a wide range of applications in forestry pest control. However, forest pest detection faces the challenges of a lack of datasets and low accuracy of small target detection. DETR is an end-to-end object detection model based on th
Externí odkaz:
https://doaj.org/article/e28b1e884f3d48b9ae2c5eeb7b948621
Publikováno v:
IEEE Access, Vol 8, Pp 118192-118204 (2020)
Task offloading could optimize computational resource utilization in edge computing environments. However, how to assign and offload tasks for different behavior users is an essential problem since the systems dynamic, intelligent application diversi
Externí odkaz:
https://doaj.org/article/f6edf86fb16d4c6faa2c48e3bf815c6d
Publikováno v:
Applied Intelligence. 53:6800-6813
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d653ea28f6e87be73988c49dc77a3ff
https://doi.org/10.1007/s10489-022-03851-3
https://doi.org/10.1007/s10489-022-03851-3
Publikováno v:
IEEE Transactions on Cloud Computing. 10:1738-1750
Mobile edge computing is emerging to provide cloud-computing capabilities to mobile users, so that they can offload computation intensive tasks to close proximity for execution. However, most existing works imply that a transmission-finished task sti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ced84e90e641b2b1a1c6b76b68ed58fb
https://doi.org/10.1109/tcc.2020.2994145
https://doi.org/10.1109/tcc.2020.2994145
Supervised comparative learning makes the spatial features of similar samples close to each other by category information. However, currently supervised contrast learning relies more on the spatial feature representation of the original data, which l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f38aebef951139c0f7a256ea7addf6c
https://doi.org/10.21203/rs.3.rs-2744398/v1
https://doi.org/10.21203/rs.3.rs-2744398/v1
Publikováno v:
Journal of Computational Methods in Sciences and Engineering. 21:1365-1373
With the development of the Intelligent Transportation System, various distributed sensors (including GPS, radar, infrared sensors) process massive data and make decisions for emergencies. Federated learning is a new distributed machine learning para
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e1ed7a2c207b631601530e83ba77b82
https://doi.org/10.3233/jcm-214991
https://doi.org/10.3233/jcm-214991
Publikováno v:
IEEE Access, Vol 8, Pp 118192-118204 (2020)
Task offloading could optimize computational resource utilization in edge computing environments. However, how to assign and offload tasks for different behavior users is an essential problem since the systems dynamic, intelligent application diversi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a2001f87b100cb97459e93c48174222
https://ieeexplore.ieee.org/document/9125907/
https://ieeexplore.ieee.org/document/9125907/
Publikováno v:
Information Processing & Management. 59:102850
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7733ae764703dcfdcdab1b6c51c9e1aa
https://doi.org/10.1016/j.ipm.2021.102850
https://doi.org/10.1016/j.ipm.2021.102850
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 34:2058014
Task scheduling between edge devices and remote servers is a common application scenario in edge computing or cloud computing, also known as computational offloading. A reasonable scheduling strategy can effectively shorten task completion time, redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::446ee1ba890a59b11152fd2727b6517e
https://doi.org/10.1142/s0218001420580148
https://doi.org/10.1142/s0218001420580148