As digital technology evolves, the increasing use of connected devices brings
both challenges and opportunities in the areas of mobile crowdsourcing, edge
computing, and recommender systems. This survey focuses on these dynamic
fields, emphasizing the critical need for privacy protection in our
increasingly data-oriented world. It explores the latest trends in these
interconnected areas, with a special emphasis on privacy and data security. Our
method involves an in-depth analysis of various academic works, which helps us
to gain a comprehensive understanding of these sectors and their shifting focus
towards privacy concerns. We present new insights and marks a significant
advancement in addressing privacy issues within these technologies. The survey
is a valuable resource for researchers, industry practitioners, and policy
makers, offering an extensive overview of these fields and their related
privacy challenges, catering to a wide audience in the modern digital era.

数字技术的发展带来了移动众包、边缘计算和推荐系统方面的挑战和机遇。本综述聚焦于这些领域，强调在我们日益数据化的世界中对隐私保护的重要需求，并探索了这些相互关联的领域的最新趋势，特别关注隐私和数据安全。综述通过对各种学术工作的深入分析，帮助我们全面了解这些行业及其对隐私问题的关注，提供了对这些领域及其相关隐私挑战的广泛概述，是研究人员、行业从业者和政策制定者的宝贵资源，在现代数字时代迎合了广大受众。

隐私保护的进展：对推荐系统、边缘计算和云计算中隐私保护技术的回顾

Progress in Privacy Protection: A Review of Privacy Preserving  Techniques in Recommender Systems, Edge Computing, and Cloud Computing

Towns and cities are currently equipping themselves with a host of connected
devices, with a view to transforming themselves into ''smart cities''. To
manage this mass of connected objects, autonomous software entities, known as
agents, can be attached to them to cooperate and use these devices to offer
personalized services. However, this object infrastructure needs to be
semantically structured in order to be exploited. This is why the proposal of
this article is an ontology, formatted in OWL, describing the object
infrastructures, their links with the organization of the multi-agent system
and the services to be delivered according to the users of the system. The
ontology is applied to smart mobility for people with reduced mobility, and
could be adapted to other smart city axes.

对于智能城市的发展，本文提出了一个以 OWL 格式的本体论描述物体基础设施、多智能体系统的组织以及根据系统用户需求提供个性化服务的关联，该本体论在解决残疾人士智能出行问题上得以应用，并可用于其他智能城市领域。

智能城市中环境多 agent 系统的本体论

Une ontologie pour les syst{è}mes multi-agents ambiants dans les  villes intelligentes

Recent developments in hardware and information technology have enabled the
emergence of billions of connected, intelligent devices around the world
exchanging information with minimal human involvement. This paradigm, known as
the Internet of Things (IoT) is progressing quickly with an estimated 27
billion devices by 2025. This growth in the number of IoT devices and
successful IoT services has generated a tremendous amount of data. However,
this humongous volume of data poses growing concerns for user privacy. This
introductory chapter has presented a brief survey of some of the existing data
privacy-preservation schemes proposed by researchers in the field of the
Internet of Things.

近年来的硬件和信息技术的发展使得世界上数十亿个互联智能设备的出现成为可能，它们通过最小的人类干预交换信息。这种称为物联网（IoT）的范式正在快速发展，到 2025 年估计将有 27 亿个设备。然而，这些设备产生的海量数据给用户隐私保护带来了越来越多的担忧，因此本研究引入了已有的一些针对物联网领域的数据隐私保护方案。