[go: up one dir, main page]

Xu et al., 2020 - Google Patents

A survey on edge intelligence

Xu et al., 2020

View PDF
Document ID
9290864385735621863
Author
Xu D
Li T
Li Y
Su X
Tarkoma S
Hui P
Publication year
Publication venue
arXiv preprint arXiv:2003.12172

External Links

Snippet

Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis in locations close to where data is captured based on artificial intelligence. The aim of edge intelligence is to enhance the quality and speed of …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
    • G06F15/163—Interprocessor communication
    • G06F15/173—Interprocessor communication using an interconnection network, e.g. matrix, shuffle, pyramid, star, snowflake
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management

Similar Documents

Publication Publication Date Title
Xu et al. Edge intelligence: Architectures, challenges, and applications
Xu et al. A survey on edge intelligence
Xu et al. Edge intelligence: Empowering intelligence to the edge of network
Wang et al. Convergence of edge computing and deep learning: A comprehensive survey
Chen et al. Deep learning with edge computing: A review
Zhou et al. Edge intelligence: Paving the last mile of artificial intelligence with edge computing
Shi et al. Communication-efficient edge AI: Algorithms and systems
Wolfrath et al. Haccs: Heterogeneity-aware clustered client selection for accelerated federated learning
Joshi et al. Enabling all in-edge deep learning: A literature review
Yang et al. Application of meta-learning in cyberspace security: A survey
Du et al. Energy-efficient sensory data gathering based on compressed sensing in IoT networks
Faheem et al. Multilayer cyberattacks identification and classification using machine learning in internet of blockchain (IoBC)-based energy networks
Bai et al. Automated ensemble for deep learning inference on edge computing platforms
Jiang et al. Distributed deep learning optimized system over the cloud and smart phone devices
Sharma et al. Reliable federated learning in a cloud-fog-IoT environment
Xu et al. Decentralized and distributed learning for AIoT: A comprehensive review, emerging challenges, and opportunities
Hasanin et al. [Retracted] Efficient Multiuser Computation for Mobile‐Edge Computing in IoT Application Using Optimization Algorithm
US20250119453A1 (en) Invalid traffic detection using explainable unsupervised graph ml
Patel et al. Performance comparison of deep VM workload prediction approaches for cloud
Yang et al. Lstm network-based adaptation approach for dynamic integration in intelligent end-edge-cloud systems
Gong et al. Delta: A cloud-assisted data enrichment framework for on-device continual learning
Li et al. Esmo: Joint frame scheduling and model caching for edge video analytics
Thorat et al. A deep learning approach for sustainable ad hoc vehicular network
Wu et al. CLPREM: A real-time traffic prediction method for 5G mobile network
Vu et al. Integration of TinyML and LargeML: A Survey of 6G and Beyond