Zobrazeno 1 - 10
of 751
pro vyhledávání: '"Anagnostopoulos Christos"'
Publikováno v:
Open Computer Science, Vol 14, Iss 1, Pp pp. 6-7 (2024)
In distributed computing environments, the collaboration of nodes for predictive analytics at the network edge plays a crucial role in supporting real-time services. When a node’s service becomes unavailable for various reasons (e.g., service updat
Externí odkaz:
https://doaj.org/article/a9047eb179f84c94a68b5e9cc92af78a
Publikováno v:
Open Computer Science, Vol 14, Iss 1, Pp pp. 1-23 (2024)
Mobile edge computing (MEC) paradigm has emerged to improve the quality of service & experience of applications deployed in close proximity to end-users. Due to their restricted computational and communication resources, MEC nodes can provide access
Externí odkaz:
https://doaj.org/article/b98b2b60d7df42fc8943e94d9a82be3e
Multi-source logs provide a comprehensive overview of ongoing system activities, allowing for in-depth analysis to detect potential threats. A practical approach for threat detection involves explicit extraction of entity triples (subject, action, ob
Externí odkaz:
http://arxiv.org/abs/2411.15354
In this paper we propose a methodology combining Federated Learning (FL) with Cross-view Image Geo-localization (CVGL) techniques. We address the challenges of data privacy and heterogeneity in autonomous vehicle environments by proposing a personali
Externí odkaz:
http://arxiv.org/abs/2411.04692
This paper proposes a novel localization framework based on collaborative training or federated learning paradigm, for highly accurate localization of autonomous vehicles. More specifically, we build on the standard approach of KalmanNet, a recurrent
Externí odkaz:
http://arxiv.org/abs/2411.05847
Decentralized Federated Learning (DFL) has become popular due to its robustness and avoidance of centralized coordination. In this paradigm, clients actively engage in training by exchanging models with their networked neighbors. However, DFL introdu
Externí odkaz:
http://arxiv.org/abs/2404.15943
Nowadays, the use of advanced sensors, such as terrestrial 3D laser scanners, mobile LiDARs and Unmanned Aerial Vehicles (UAV) photogrammetric imaging, has become the prevalent practice for 3D Reality Modeling and digitization of large-scale monument
Externí odkaz:
http://arxiv.org/abs/2402.12794
Artificial Intelligence (AI) in recent years has shown an unprecedentedly impressive development, tending to play a catalytic role in all aspects of life. The interest of the academic community, but also of governments, is huge in the dynamics of AI
Externí odkaz:
http://arxiv.org/abs/2402.07907
Preserving and safeguarding the Cultural Heritage (CH) of our world from unforeseen hazards should be viewed as a collective responsibility for humanity. Consequently, there is a growing imperative for targeted measures aimed at conserving, rejuvenat
Externí odkaz:
http://arxiv.org/abs/2401.01380