Results 81 to 90 of about 95,408 (180)
Self-adaptive serverless edge computing for edge intelligence [PDF]
The Edge Intelligence application paradigm is an umbrella term for AI applications that cooperate across the edge-cloud continuum. Stringent requirements around low latency, privacy, personalization, and complex interactions are characteristic of them ...
Raith, Philipp Alexander; orcid:
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Distinguished Talk: Edge Intelligence - Engineering the New Fabric of IoT, Edge, and Cloud
, 2021 With the advent of Edge Computing and the coming of age of Artificial Intelligence, there is a strong demand to integrate Edge Computing and AI, which gives birth to Edge Intelligence.
Dustdar, Schahram
core
Recent Trends in Edge AI: Efficient Design, Training and Deployment of Machine Learning Models
With a rising demand for ubiquitous smart systems, processing and interpreting large quantities of data generated on the edge at a high velocity is becoming an increasingly important challenge.
Deutel, Mark +4 more
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Distributed Machine Learning through Heterogeneous Edge Systems
, 2020 Many emerging AI applications request distributed machine learning (ML) among edge systems (e.g., IoT devices and PCs at the edge of the Internet), where data cannot be uploaded to a central venue for model training, due to their large volumes and/or ...
Wu, Chuan +5 more
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Engineering Micro-intelligence at the Edge of CPCS: Design Guidelines
, 2019 The Intelligent Edge computing paradigm is playing a major role in the design and development of Cyber-Physical and Cloud Systems (CPCS), extending the Cloud and overcoming its limitations so as to better address the issues related with the physical ...
Roberta Calegari +7 more
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Shaping the Future of IoT with Edge Intelligence
This book presents the technologies that empower edge intelligence, along with their use in novel IoT solutions. Specifically, it presents how 5G/6G, Edge AI, and Blockchain solutions enable novel IoT-based decentralized intelligence use cases at the ...
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Edge Perception: Intelligent Wireless Sensing at Network Edge
IEEE Communications MagazineFuture sixth-generation (6G) networks are envisioned to support intelligent applications across various vertical scenarios, which have stringent requirements on high-precision sensing as well as ultra-low-latency data processing and decision making. Towards this end, a new paradigm of edge perception networks emerges, which integrates wireless sensing,
Yuanhao Cui +4 more
openaire +2 more sources
, 2022 As humans, Internet of Things, software services and AI continue to become the entangled fabric of distributed systems, systems engineers and researchers are facing novel challenges.
Dustdar, Schahram; orcid:
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Performance Measures for Edge Organizations: A Preliminary Report [PDF]
, 2008 Taking an information-processing view of organizations, we address the need for building a robust set of performance measures for Edge Organizations (EOs). Alberts and Hayes in Power to the Edge: Command, Control in the Information Age conceptualized EOs
Roy, Sumit, Lin, Yuan, Desouza, Kevin C.
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Platoon intelligence: edge learning in vehicle platooning networks
Urban LifelineWith the increasing computing capacity of intelligent connected vehicles (ICVs), there will be a considerable amount of spare resources available in the vehicle cluster. It is necessary to make full use of these spare resources.
Junhui Zhao +4 more
doaj +1 more source