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Artificial Intelligence as a Service (AIaaS) for Cloud, Fog and the Edge: State-of-the-Art Practices

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-49186-4_31openalex-snapshot
An Overview of Chatbot Technology
inferredcites →https://doi.org/10.1007/s00521-020-04874-yopenalex-snapshot
Machine learning and data analytics for the IoT
inferredcites →https://doi.org/10.1007/s10209-018-0618-4openalex-snapshot
The application of internet of things in healthcare: a systematic literature review and classification
inferredcites →https://doi.org/10.1007/s10479-020-03620-wopenalex-snapshot
Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics
inferredcites →https://doi.org/10.1007/s12599-021-00708-wopenalex-snapshot
Artificial Intelligence as a Service
inferredcites →https://doi.org/10.1007/s44196-024-00417-8openalex-snapshot
A Hybrid Cryptographic Mechanism for Secure Data Transmission in Edge AI Networks
inferredcites →https://doi.org/10.1016/j.advengsoft.2015.01.010openalex-snapshot
The Ant Lion Optimizer
inferredcites →https://doi.org/10.1016/j.clsr.2021.105573openalex-snapshot
Artificial intelligence as a service: Legal responsibilities, liabilities, and policy challenges
inferredcites →https://doi.org/10.1016/j.engappai.2020.103737openalex-snapshot
Towards privacy preserving AI based composition framework in edge networks using fully homomorphic encryption
inferredcites →https://doi.org/10.1016/j.engappai.2020.104008openalex-snapshot
MOEPO: A novel Multi-objective Emperor Penguin Optimizer for global optimization: Special application in ranking of cloud service providers
inferredcites →https://doi.org/10.1016/j.future.2018.04.057openalex-snapshot
Offloading in fog computing for IoT: Review, enabling technologies, and research opportunities
inferredcites →https://doi.org/10.1016/j.future.2018.07.034openalex-snapshot
A fog computing based concept drift adaptive process mining framework for mobile APPs
inferredcites →https://doi.org/10.1016/j.future.2019.10.043openalex-snapshot
HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments
inferredcites →https://doi.org/10.1016/j.future.2023.09.008openalex-snapshot
Model aggregation techniques in federated learning: A comprehensive survey
inferredcites →https://doi.org/10.1016/j.future.2023.10.012openalex-snapshot
Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments
inferredcites →https://doi.org/10.1016/j.glt.2020.11.002openalex-snapshot
An integrated fog and Artificial Intelligence smart health framework to predict and prevent COVID-19
inferredcites →https://doi.org/10.1016/j.ins.2013.04.028openalex-snapshot
Security and privacy for storage and computation in cloud computing
inferredcites →https://doi.org/10.1016/j.iot.2023.101037openalex-snapshot
A survey on security and cryptographic perspective of Industrial-Internet-of-Things
inferredcites →https://doi.org/10.1016/j.iotcps.2023.02.004openalex-snapshot
Edge AI: A survey
inferredcites →https://doi.org/10.1016/j.jksuci.2021.11.019openalex-snapshot
A review on TinyML: State-of-the-art and prospects
inferredcites →https://doi.org/10.1016/j.jnca.2007.01.004openalex-snapshot
A novel ANN-based service selection model for ubiquitous computing environments
inferredcites →https://doi.org/10.1016/j.jnca.2013.10.004openalex-snapshot
Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey
inferredcites →https://doi.org/10.1016/j.jnca.2017.12.021openalex-snapshot
Outsourced privacy-preserving classification service over encrypted data
inferredcites →https://doi.org/10.1016/j.jnca.2020.102972openalex-snapshot
Adopting elitism-based Genetic Algorithm for minimizing multi-objective problems of IoT service placement in fog computing environment
inferredcites →https://doi.org/10.1016/j.jnca.2021.103078openalex-snapshot
Application placement in Fog computing with AI approach: Taxonomy and a state of the art survey
inferredcites →https://doi.org/10.1016/j.knosys.2022.109199openalex-snapshot
HADA: An automated tool for hardware dimensioning of AI applications
inferredcites →https://doi.org/10.1016/j.robot.2020.103621openalex-snapshot
Autonomous drone race: A computationally efficient vision-based navigation and control strategy
inferredcites →https://doi.org/10.1016/j.suscom.2022.100725openalex-snapshot
Low-power deep learning edge computing platform for resource constrained lightweight compact UAVs
inferredcites →https://doi.org/10.1016/j.sysarc.2019.02.009openalex-snapshot
All one needs to know about fog computing and related edge computing paradigms: A complete survey
inferredcites →https://doi.org/10.1038/s42256-020-0186-1openalex-snapshot
Secure, privacy-preserving and federated machine learning in medical imaging
inferredcites →https://doi.org/10.1097/sla.0000000000003262openalex-snapshot
Artificial Intelligence and the Future of Surgical Robotics
inferredcites →https://doi.org/10.1109/access.2018.2801293openalex-snapshot
A Survey to Predict the Trend of AI-able Server Evolution in the Cloud
inferredcites →https://doi.org/10.1109/access.2018.2817523openalex-snapshot
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture
inferredcites →https://doi.org/10.1109/access.2018.2871724openalex-snapshot
Artificial Intelligence for Cloud-Assisted Smart Factory
inferredcites →https://doi.org/10.1109/access.2018.2888976openalex-snapshot
AI-Powered Green Cloud and Data Center
inferredcites →https://doi.org/10.1109/access.2019.2948399openalex-snapshot
What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges
inferredcites →https://doi.org/10.1109/access.2020.2964386openalex-snapshot
A Cloud-Based Framework for Machine Learning Workloads and Applications
inferredcites →https://doi.org/10.1109/access.2021.3097751openalex-snapshot
One-Dimensional CNN Approach for ECG Arrhythmia Analysis in Fog-Cloud Environments
inferredcites →https://doi.org/10.1109/camad59638.2023.10478416openalex-snapshot
Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities
inferredcites →https://doi.org/10.1109/cloud.2015.88openalex-snapshot
Everything as a Service (XaaS) on the Cloud: Origins, Current and Future Trends
inferredcites →https://doi.org/10.1109/coins51742.2021.9524098openalex-snapshot
Task Offloading for Edge-Fog-Cloud Interplay in the Healthcare Internet of Things (IoT)
inferredcites →https://doi.org/10.1109/comst.2020.3007787openalex-snapshot
Communication-Efficient Edge AI: Algorithms and Systems
inferredcites →https://doi.org/10.1109/comst.2021.3058573openalex-snapshot
Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems
inferredcites →https://doi.org/10.1109/comst.2022.3218527openalex-snapshot
Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey
inferredcites →https://doi.org/10.1109/comst.2023.3239579openalex-snapshot
Offloading Using Traditional Optimization and Machine Learning in Federated Cloud–Edge–Fog Systems: A Survey
inferredcites →https://doi.org/10.1109/comst.2023.3338015openalex-snapshot
AI-Empowered Fog/Edge Resource Management for IoT Applications: A Comprehensive Review, Research Challenges, and Future Perspectives
inferredcites →https://doi.org/10.1109/cscn.2019.8931372openalex-snapshot
Artificial Intelligence as a Service (AI-aaS) on Software-Defined Infrastructure
inferredcites →https://doi.org/10.1109/icc40277.2020.9148862openalex-snapshot
Client-Edge-Cloud Hierarchical Federated Learning
inferredcites →https://doi.org/10.1109/icce-berlin50680.2020.9352184openalex-snapshot
Artificial Intelligence Service Architecture for Edge Device
inferredcites →https://doi.org/10.1109/iccspa49915.2021.9385717openalex-snapshot
A Succinct Review Of Intelligent Computational Techniques In Green Cloud Computing
inferredcites →https://doi.org/10.1109/iceca52323.2021.9676013openalex-snapshot
AI Strategy for Stake Cloud Computing and Edge Computing: A State of the art survey
inferredcites →https://doi.org/10.1109/icmla.2015.152openalex-snapshot
MLaaS: Machine Learning as a Service
inferredcites →https://doi.org/10.1109/icppw.2010.45openalex-snapshot
The Characteristics of Cloud Computing
inferredcites →https://doi.org/10.1109/jetcas.2021.3101740openalex-snapshot
Automated Pest Detection With DNN on the Edge for Precision Agriculture
inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot
Edge Computing: Vision and Challenges
inferredcites →https://doi.org/10.1109/jiot.2017.2683200openalex-snapshot
A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications
inferredcites →https://doi.org/10.1109/jiot.2017.2767608openalex-snapshot
Future Edge Cloud and Edge Computing for Internet of Things Applications
inferredcites →https://doi.org/10.1109/jiot.2017.2772959openalex-snapshot
Emotion-Aware Connected Healthcare Big Data Towards 5G
inferredcites →https://doi.org/10.1109/jiot.2019.2952146openalex-snapshot
Local Differential Privacy for Deep Learning
inferredcites →https://doi.org/10.1109/jiot.2020.2984887openalex-snapshot
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
inferredcites →https://doi.org/10.1109/jiot.2020.3039359openalex-snapshot
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
inferredcites →https://doi.org/10.1109/jiot.2020.3042433openalex-snapshot
Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems
inferredcites →https://doi.org/10.1109/jiot.2021.3088875openalex-snapshot
A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things
inferredcites →https://doi.org/10.1109/jiot.2021.3110910openalex-snapshot
Collaborative AI-Enabled Intelligent Partial Service Provisioning in Green Industrial Fog Networks
inferredcites →https://doi.org/10.1109/jiot.2022.3161050openalex-snapshot
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey
inferredcites →https://doi.org/10.1109/jiot.2022.3170449openalex-snapshot
Recent Advances in Artificial Intelligence for Wireless Internet of Things and Cyber–Physical Systems: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/jiot.2022.3176400openalex-snapshot
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges
inferredcites →https://doi.org/10.1109/jiot.2023.3235065openalex-snapshot
Data-Driven Task Offloading Method for Resource-Constrained Terminals via Unified Resource Model
inferredcites →https://doi.org/10.1109/jiot.2023.3242770openalex-snapshot
Data-Driven Edge Offloading for Wireless Control Systems
inferredcites →https://doi.org/10.1109/jiot.2024.3367791openalex-snapshot
Reinforcement-Learning-Based Offloading for RIS-Aided Cloud–Edge Computing in IoT Networks: Modeling, Analysis, and Optimization
inferredcites →https://doi.org/10.1109/mc.2023.3303370openalex-snapshot
Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning?
inferredcites →https://doi.org/10.1109/mcc.2018.1081067openalex-snapshot
Making Sense of AI in Public Clouds
inferredcites →https://doi.org/10.1109/mcom.001.2000373openalex-snapshot
Communication-Computation Trade-off in Resource-Constrained Edge Inference
inferredcites →https://doi.org/10.1109/mcom.2017.1600893openalex-snapshot
5G Radio Access Network Design with the Fog Paradigm: Confluence of Communications and Computing
inferredcites →https://doi.org/10.1109/mcom.2017.1700246openalex-snapshot
Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/mcom.2019.1800215openalex-snapshot
EiF: Toward an Elastic IoT Fog Framework for AI Services
inferredcites →https://doi.org/10.1109/mis.2020.3010335openalex-snapshot
Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning?
inferredcites →https://doi.org/10.1109/mnet.001.1800510openalex-snapshot
AI-Enhanced Offloading in Edge Computing: When Machine Learning Meets Industrial IoT
inferredcites →https://doi.org/10.1109/mnet.011.2000295openalex-snapshot
Toward Resource-Efficient Federated Learning in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/mnet.2019.1800235openalex-snapshot
Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT
inferredcites →https://doi.org/10.1109/mnet.2019.1800286openalex-snapshot
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
inferredcites →https://doi.org/10.1109/msp.2017.2765695openalex-snapshot
Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges
inferredcites →https://doi.org/10.1109/mwc.2017.1600427openalex-snapshot
Container-as-a-Service at the Edge: Trade-off between Energy Efficiency and Service Availability at Fog Nano Data Centers
inferredcites →https://doi.org/10.1109/ojcoms.2020.2994737openalex-snapshot
HierTrain: Fast Hierarchical Edge AI Learning With Hybrid Parallelism in Mobile-Edge-Cloud Computing
inferredcites →https://doi.org/10.1109/ram.2017.7889681openalex-snapshot
Analysis of massive industrial data using MapReduce framework for parallel processing
inferredcites →https://doi.org/10.1109/snpd.2015.7176215openalex-snapshot
Various “aaS” of everything as a service
inferredcites →https://doi.org/10.1109/tcc.2020.3006751openalex-snapshot
Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud
inferredcites →https://doi.org/10.1109/tccn.2020.2999479openalex-snapshot
Lightweight Deep Learning Based Intelligent Edge Surveillance Techniques
inferredcites →https://doi.org/10.1109/tpds.2019.2926979openalex-snapshot
Multi-Hop Cooperative Computation Offloading for Industrial IoT–Edge–Cloud Computing Environments
inferredcites →https://doi.org/10.1109/tsc.2021.3113184openalex-snapshot
Employ AI to Improve AI Services : Q-Learning Based Holistic Traffic Control for Distributed Co-Inference in Deep Learning
inferredcites →https://doi.org/10.1109/tsc.2021.3117927openalex-snapshot
AI Back-End as a Service for Learning Switching of Mobile Apps Between the Fog and the Cloud
inferredcites →https://doi.org/10.1109/tsc.2022.3155447openalex-snapshot
AI-Enabled Secure Microservices in Edge Computing: Opportunities and Challenges
inferredcites →https://doi.org/10.1109/tvt.2019.2904244openalex-snapshot
Collaborative Cloud and Edge Computing for Latency Minimization
inferredcites →https://doi.org/10.1145/2135.2137openalex-snapshot
The information system as a competitive weapon
inferredcites →https://doi.org/10.1145/2505515.2508198openalex-snapshot
PredictionIO
inferredcites →https://doi.org/10.1145/3190508openalex-snapshot
Proceedings of the Thirteenth EuroSys Conference
inferredcites →https://doi.org/10.1145/3190508.3190517openalex-snapshot
Optimus
inferredcites →https://doi.org/10.1145/3366423.3380106openalex-snapshot
Privacy-preserving AI Services Through Data Decentralization
inferredcites →https://doi.org/10.1145/3377454openalex-snapshot
A Survey on Distributed Machine Learning
inferredcites →https://doi.org/10.1145/3386723.3387897openalex-snapshot
A Smart Chatbot Architecture based NLP and Machine Learning for Health Care Assistance
inferredcites →https://doi.org/10.1145/3442188openalex-snapshot
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
inferredcites →https://doi.org/10.1145/3442381openalex-snapshot
Proceedings of the Web Conference 2021
inferredcites →https://doi.org/10.1145/3458864.3466628openalex-snapshot
PPFL
inferredcites →https://doi.org/10.1145/3486221openalex-snapshot
Orchestration in Fog Computing: A Comprehensive Survey
inferredcites →https://doi.org/10.1145/3498361openalex-snapshot
Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services
inferredcites →https://doi.org/10.1145/3531146.3533234openalex-snapshot
Measuring the Carbon Intensity of AI in Cloud Instances
inferredcites →https://doi.org/10.1145/3597062.3597278openalex-snapshot
The Case for Hierarchical Deep Learning Inference at the Network Edge
inferredcites →https://doi.org/10.1145/3604281openalex-snapshot
A Primer on Seq2Seq Models for Generative Chatbots
inferredcites →https://doi.org/10.1145/3673038openalex-snapshot
Proceedings of the 53rd International Conference on Parallel Processing
inferredcites →https://doi.org/10.1145/3673038.3673151openalex-snapshot
FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering
inferredcites →https://doi.org/10.14778/3282495.3282499openalex-snapshot
Rafiki
inferredcites →https://doi.org/10.1515/popets-2018-0024openalex-snapshot
Privacy-preserving Machine Learning as a Service
inferredcites →https://doi.org/10.23919/jcc.2020.08.001openalex-snapshot
The interplay between artificial intelligence and fog radio access networks
inferredcites →https://doi.org/10.26599/tst.2020.9010025openalex-snapshot
Artificial intelligence for edge service optimization in Internet of Vehicles: A survey
inferredcites →https://doi.org/10.3390/s20205796openalex-snapshot
Distributed Artificial Intelligence-as-a-Service (DAIaaS) for Smarter IoE and 6G Environments
inferredcites →https://doi.org/10.3390/s21238039openalex-snapshot
AI-Enabled Framework for Fog Computing Driven E-Healthcare Applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Agent AI-as-a-Service (AIaaS) in Multi-Cloud Environments: Challenges, Opportunities, and the Future of Autonomous AI-Driven Cloud Computing
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A Distributed AIaaS Platform with Context-Awareness for the Edge–Cloud Continuum Applied to Industry 4.0 (ADAPT)
inferred← citeshttps://doi.org/10.1007/978-3-032-28316-0_8openalex-snapshot
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