Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nguyen, Tung-Anh"'
Autor:
Nguyen, Tung-Anh, Le, Long Tan, Nguyen, Tuan Dung, Bao, Wei, Seneviratne, Suranga, Hong, Choong Seon, Tran, Nguyen H.
Publikováno v:
IEEE/ACM Transactions on Networking On page(s): 1-16 Print ISSN: 1063-6692 Online ISSN: 1558-2566 Digital Object Identifier: 10.1109/TNET.2024.3423780
With the proliferation of the Internet of Things (IoT) and the rising interconnectedness of devices, network security faces significant challenges, especially from anomalous activities. While traditional machine learning-based intrusion detection sys
Externí odkaz:
http://arxiv.org/abs/2407.07421
While astonishingly capable, large Language Models (LLM) can sometimes produce outputs that deviate from human expectations. Such deviations necessitate an alignment phase to prevent disseminating untruthful, toxic, or biased information. Traditional
Externí odkaz:
http://arxiv.org/abs/2405.15230
Federated Learning (FL) is a prominent distributed learning paradigm facilitating collaboration among nodes within an edge network to co-train a global model without centralizing data. By shifting computation to the network edge, FL offers robust and
Externí odkaz:
http://arxiv.org/abs/2309.15659
In the era of Internet of Things (IoT), network-wide anomaly detection is a crucial part of monitoring IoT networks due to the inherent security vulnerabilities of most IoT devices. Principal Components Analysis (PCA) has been proposed to separate ne
Externí odkaz:
http://arxiv.org/abs/2212.12121
In federated learning, participating clients typically possess non-i.i.d. data, posing a significant challenge to generalization to unseen distributions. To address this, we propose a Wasserstein distributionally robust optimization scheme called WAF
Externí odkaz:
http://arxiv.org/abs/2206.01432
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
null Dam Viet Bac, null Nguyen Dang Mau, null Bui Minh Tuan, null Tran Thanh Thuy, null Pham Thi Hai Yen, null Tran Thi Tam, null Do Van Man, null Luong Xuan Thai, null Nguyen Tung Anh, null Tran Chan Nam, null Hosam Ali, null Muehlbauer Andreas, null Osibanjo Olabosipo
Publikováno v:
Tạp chí Khoa học Biến đổi khí hậu. :34-43
In this study, we focus on studying data and calculating climatic features of hail. In this study, a hail dataset was created by combining historic records from 186 meteorological stations for the period 1961 - 2021. The data are obtained from severa
Publikováno v:
In Procedia Engineering 2016 142:131-138
Publikováno v:
2018 International Conference on Electronics, Information, and Communication (ICEIC).
Although mobile devices have obtained more and more capabilities such as CPU power, memory, and battery, they still cannot satisfy the requirement of high resource consuming applications. Fog Computing is one of the solutions for offloading the task