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(Apologies for cross-posting) Second Workshop on Converge of Edge Intelligence in IoT (EdgeAI-IoT 2023) In conjunction with IEEE WF-IoT 2023, October 12-27 2023, Aveiro Congress Center, Portugal Workshop link: https://wfiot2023.iot.ieee.org/2nd-workshop-converge-edge-intelligence-iot-edgeai-iot-2023 [Online Learning for Edge Intelligence] ===DESCRIPTION=== Edge Intelligence is a synergy that seems imperative to conclude the convergence of Edge Computing and IoT to support intelligent applications very close to end users. IoT has pervaded our daily life by making things interconnected through the Internet, smarter, distributed and more autonomous. The emerging development of intelligent applications in IoT has now started to gain significant attention. Cloud provides many benefits, including storage, processing, and analysis of large-scale data and thus making IoT robust, smart, and autonomous. However, cloud technologies face some accessibility challenges when providing services to end users. For instance, mobile clients can move among different places yet require services with minimum cost and short response time. The unstable connection between cloud and mobile devices is expected to prevent providers from achieving optimal performance. To cope with these limitations, we aspire that Edge AI converges with IoT environments and materialises the desired intelligence in real computing systems. The Intelligent IoT is envisioned to involve numerous autonomous & distributed computing and AI-driven entities capable of understanding different contexts and taking timely optimised actions to serve modern applications efficiently. ===TOPICS=== This workshop focuses on hosting novel solutions towards the convergence of Edge Computing, AI and IoT, bringing together scientists & scholars. This year we give priority to work related to online learning for edge intelligence. The topics of the EdgeAI-IoT Workshop are concentrated on, but not limited to: [*] Theoretical Models for Edge AI and Intelligent IoT [*] Edge AI Infrastructure Modelling & Applications [*] Distributed AI for Edge & Autonomous IoT [*] Reinforcement Learning at the Edge [*] Contextual Multi-Armed Bandits (MAB) for Edge AI [*] Pure-Exploration & MAB with switching costs for Edge AI ===IMPORTANT DATES=== Paper submission: Jul 9, 2023 Notification of acceptance: Jul 31, 2023 Camera-ready submission: Aug 20, 2023 Presentation submission: Sep 25, 2023 ===PAPER SUBMISSION=== All papers must be submitted through eWorks. You must choose the workshop track (Work-02) when submitting your paper in order to be considered for this workshop. The paper should be up to six (6) pages in length. The conference allows up to two additional pages for a maximum length of eight (8) pages upon payment of extra page fees once the paper has been accepted. More information on the workshop: https://wfiot2023.iot.ieee.org/2nd-workshop-converge-edge-intelligence-iot-edgeai-iot-2023 ===ORGANIZING CHAIRS=== Shameem A Puthiya Parambath, University of Glasgow Christos Anagnostopoulos, University of Glasgow Fani Deligianni, University of Glasgow ######################################################################## To unsubscribe from the AI-SGES list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=AI-SGES&A=1 This message was issued to members of www.jiscmail.ac.uk/AI-SGES, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/