.png){kind=icon}
返回
Trusted Distributed Artificial Intelligence (TDAI)
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2023.3322568.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
As the diversity of components increases within the intelligent systems, trusted interactivity also becomes critical challenge for the system components and nodes. Furthermore, emerging SDN (Software Defined Networking) features are also utilized to assure its resiliency and robustness in a dynamic context and monitored by trusted multi-agents' system to maximize trustworthiness of the system components and the deployed context. However, it is not feasible to deploy the intelligent mechanisms at massive scale with the state-of-the-art architectural design paradigms. Therefore, we define three main architectures (central, decentral/autonomous/embedded, distributed/hybrid) as a basis for TDAI methodology to ensure end-to-end trust in holistic AI system life-cycle. Thanks to such a trusted multi-agents-based trust monitoring mechanism, we will be able to overcome hardware limitations and provide flexible and resilient end-to-end trust mechanism for trusted AI models and emerging massive scale intelligent systems. Finally, we evaluated our TDAI Methodology in CCAM (Connected, Cooperative, Autonomous Mobility) domain of a smart-city to monitor its system trust and user behaviors. By that means, it is exploited as a mean of decision-making mechanism to be deployed either manually or automatically (example of anomalies detection etc.). Such a mechanism improves total system performance and behavioral anomaly detection and risk minimization algorithms over the distributed nodes of a given AI system. Furthermore, smartness features are also improved with human-like intelligence abilities at massive scale thanks to the promising performance of TDAI at real-life deployment experiments to maximize trust factor of the dynamically observed context of the smart-cities during the monitored time-span.
Keyword:
Trusted AI
distributed computing
software defined networking (SDN)
multi-agent systems (MAS)
trusted execution environment (TEE)
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Interplay of Eph-Ephrin Signalling and Cadherin Function in Cell Segregation and Boundary Formation
OAAI
OAAI分享收藏分享收藏Two-dimensional bricklayer arrangements of tolans using halogen bonding interactions使用卤素键相互作用的tolans的二维瓦工层布置
PREAI
分享收藏Preliminary Safety, Pharmacokinetic, and Pharmacodynamic Results from a Phase 1b/2 Dose-Escalation and Cohort-Expansion Study of the Noncovalent, Reversible Bruton's Tyrosine Kinase Inhibitor (BTKi), Vecabrutinib, in B-Lymphoid Malignancies.png)
Blood
BloodIF0
PREAI
分享收藏分享收藏分享收藏6G Wireless Systems: Vision, Requirements, Challenges, Insights, and OpportunitiesPROCEEDINGS OF THE IEEEOAAI
PROCEEDINGS OF THE IEEEIF25.9
OAAI分享收藏
查看更多内容