智慧城市的可信分布式智能

Xiaoli Liu, S. Tamminen, S. Tarkoma, Xiang Su
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引用次数: 1

摘要

智慧城市的未来受到物联网(IoT)和分布式智能的重大影响,其中从大量异构设备收集大量数据,分布式智能将存储,计算和人工智能(AI)功能引入终端设备,从而生成数据以提供新颖的服务和应用程序。然而,人工智能系统面临着许多挑战,因为复杂的人工智能模型的不可预测性削弱了用户的信任。本文提供了对可信分布式智能的基本概念和挑战的一般理解。本文以区域供热网络的一个用例为例,探讨了为智慧城市实现可信赖的分布式智能所提出的概念、技术和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trustworthy Distributed Intelligence for Smart Cities
The future of smart cities has been significantly impacted by Internet of Things (IoT) and distributed intelligence, where a large scale of data are collected from massive amounts of heterogeneous devices and distributed intelligence brings storage, computing, and Artificial Intelligence (AI) functionality close to the end devices where data are generated for providing novel services and applications. However, AI empowered systems face many challenges due to the inscrutability of complex AI models which weakens the trust of users. This paper provides a general understanding of the underlying concepts and challenges in trustworthy distributed intelligence. A use case of district heating network is illustrated to explore the proposed concepts, technologies, and challenges for enabling trustworthy distributed intelligence for smart cities.
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