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TSCSI_Edge 2020 : TSC: Special Issue on Edge AI-as-a-Service

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Link: https://www.computer.org/digital-library/journals/sc/call-for-papers-special-issue-on-edge-ai-as-a-service
 
When May 31, 2021 - Jun 30, 2021
Where Special Issue
Submission Deadline Dec 31, 2020
Notification Due Mar 31, 2021
Final Version Due May 31, 2021
Categories    edge computing   artificial intelligence   edge ai
 

Call For Papers

Call for Papers: Special Issue on Edge AI-as-a-Service
TSC seeks submissions for this upcoming special issue.

It is essential to deliver learning-based artificial intelligence (AI) capabilities through API service endpoints at the edge under the as-a-service model to meet the growing demand for integrating big data, Internet of Things (IoT), and cloud computing capabilities. The edge AI services expedite making data-driven decisions (e.g., optimizing control, coordination, investment, medical services allocation, etc.). A sample research challenge addresses learning and/or inferencing efficiency of the edge AI service (or microservice) under development that meets the requirements for minimum level of quality of service (QoS), processing power, energy consumption, robustness, extensibility, and/or DevOps. Policy-based federated learning services at edge are typical edge AI use cases in which data processing and management constraints need to be considered in terms of data origin, ownership, heterogeneity, security, and privacy. 5G/6G edge nodes provide unprecedented high QoS wireless operating environments for edge AI services and related applications.

This special issue aims at promoting high-quality research on recent advances in edge AI-as-a-service and at inspiring related research efforts. Topics of interest include, but are not limited to, the following:

Deep-learning services at the edge
Learning-based service/microservice systems running atop edge devices/nodes
Learning-based services/microservices hosted by 5G/6G edge nodes
Policy-based learning services at the edge
Edge-centric distributed or collaborative learning services
Edge-centric federated learning services
Learning-based event stream processing and/or contextual data enrichment of edge services
Learning-based edge service management, optimization, and/or continuous improvement
Learning-based security, privacy, trust, and/or risk management of edge services
Important Dates
Manuscript Submissions Due: December 31, 2020
First Round Notification: March 31, 2021
Revised Submissions Due: May 31, 2021
Final Decision Notification: June 30, 2021
Final Manuscript Submissions Due: July 31, 2021
Guest Editors
Prof. Andrzej Goscinski, Deakin University and RMIT
Prof. Elisa Bertino, Purdue University
Prof. Shangguang Wang, BUPT
Paper Submission
Please select “SI on Edge AI-as-a-Service” when submitting your manuscripts in the online system at https://mc.manuscriptcentral.com/tsc-cs. Please read the author guidelines before submitting. Every manuscript should be no more than 14 pages. Submitted manuscripts should not have been previously published nor be currently under review for publication elsewhere. Moreover, they should provide a minimum of 30% original technical contributions in comparison to previous publications.

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