Intelligent Cloud, Fog, and Edge Computing in the Internet of Things (IoT)
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 3578
Special Issue Editors
Interests: multimodal perception; ubiquitous computing; mobile sensing; applied machine learning; indoor positioning system; Wi-Fi
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is not limited to the cloud anymore, with many applications and services being distributed between the edge, the fog, and the cloud. This increasingly complex architecture is driven by privacy concerns, to avoid compromising sensitive data due to potential leaks when communicating on the internet, computation resource availability on the edge and in the fog, and latency–accuracy trade-off of inference models. It is not clear what the best design approach is, so research is needed to study this new computation paradigm in intelligent systems. This issue aims to establish best practice on these topics:
- Distributed training of machine learning models in heterogeneous systems;
- Efficient mapping of computations to the edge, fog, and cloud;
- Adaptive offloading of computation to the fog and cloud;
- Data-driven decision making in the cloud–fog–edge continuum;
- Collaborative training and inference across distributed devices.
Dr. Valentin Radu
Dr. Emilian Radoi
Guest Editors
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Keywords
- cloud–fog–edge continuum
- cloud and fog offloading
- intelligent edge computing
- distributed AI
- partitioned training and inference
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