A Survey on Trusted Distributed Artificial Intelligence
نویسندگان
چکیده
Emerging Artificial Intelligence (AI) systems are revolutionizing computing and data processing approaches with their strong impact on society. Data is processed automated labelling pipelines rather than providing it as input to the system. The innovative nature increases overall performance of monitoring/detection/reaction mechanisms for efficient system resource management. However, due hardware-driven design limitations, networking trust not flexible adaptive enough be able interact control resources dynamically. Novel software-driven can enable us build growing intelligent software-defined (SDN) features by virtualizing network functionalities maximized features. These challenges critical feature sets have been identified introduced into this survey scientific background AI mechanisms. Furthermore, obstacles research between 1950-2021 explored discussed a focus recent years. categorized according three defined architectural perspectives (central, decentral/autonomous, distributed/hybrid) emerging trusted distributed Therefore, resiliency robustness assured in dynamic context an end-to-end Trusted Execution Environment (TEE) systems. presented paper, measurement, quantification, justification methodologies top Distributed (TDAI) applied underlying diverse application domains, which will experimented our future related works.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3176385