Machine Learning Systems for Intelligent Services in the IoT: A Survey
Machine learning (ML) technologies are emerging in the Internet of Things (IoT) to provision intelligent services. This survey moves beyond existing ML algorithms and cloud-driven design to investigate the less-explored systems, scaling and socio-technical aspects for consolidating ML and IoT. It covers the latest developments (up to 2020) on scaling and distributing ML across cloud, edge, and IoT devices. With a multi-layered framework to classify and illuminate system design choices, this survey exposes fundamental concerns of developing and deploying ML systems in the rising cloud-edge-device continuum in terms of functionality, stakeholder alignment and trustworthiness.
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningSurveySimilar Papers 제목 키워드 기반
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
Unmanned aerial vehicle (UAV) swarms are considered as a promising technique for next-generation communication networks due to their flexibility, mobility, low cost, and the ability to collaboratively and autonomously pr…
Federated LearningMulti-agent Reinforcement LearningSurveyReinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
The rapid increase in the percentage of chronic disease patients along with the recent pandemic pose immediate threats on healthcare expenditure and elevate causes of death. This calls for transforming healthcare systems…
reinforcement-learningReinforcement LearningReinforcement Learning (RL)SurveyEdge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
New technological advancements in wireless networks have enlarged the number of connected devices. The unprecedented surge of data volume in wireless systems empowered by artificial intelligence (AI) opens up new horizon…
Federated LearningSurveyDeploying Foundation Model Powered Agent Services: A Survey
Foundation model (FM) powered agent services are regarded as a promising solution to develop intelligent and personalized applications for advancing toward Artificial General Intelligence (AGI). To achieve high reliabili…
modelModel CompressionSurveyToken ReductionMachine Learning for Intelligent Optical Networks: A Comprehensive Survey
With the rapid development of Internet and communication systems, both in services and technologies, communication networks have been suffering increasing complexity. It is imperative to improve intelligence in communica…
BIG-bench Machine LearningManagementSurvey