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DTSTART;VALUE=DATE:20230829
DTEND;VALUE=DATE:20230902
DTSTAMP:20260409T112655
CREATED:20230623T110855Z
LAST-MODIFIED:20230713T090415Z
UID:8487-1693267200-1693612799@eucloudedgeiot.eu
SUMMARY:3rd International Workshop on Advances on Privacy Preserving Technologies and Solutions
DESCRIPTION:The availability of massive amounts of data\, coupled with high-performance cloud computing platforms\, has driven significant progress in artificial intelligence and\, in particular\, machine learning and optimization. It has transformed into a fertile surface for cyber-attacks skyrocketing the cyber risk of involved industries and impacting several areas\, including computer vision\, natural language processing\, transportation\, trust computing\, identity management and psychological manipulation. \nThis workshop aims to strengthen security and privacy through research and relevant activities in the models and design of secure\, privacy-preserving and trust architectures\, investments in cyber-defense\, data analyses\, fusion platforms\, protocols\, algorithms\, services\, and applications for next generation systems and solutions. We especially encourage security and privacy solutions that employ innovative machine learning techniques to tackle the issues of inspecting large data volumes\, cyberattacks\, and variety problems that are systemic in IoT platforms\, theoretical and practical challenges related to the design of privacy-preserving AI systems and algorithms and will have strong multidisciplinary components\, including soliciting contributions about policy\, legal issues\, and societal impact of privacy and affect the cyber risk of the participating entities. \nThe 2023 IWAPS will bring together researchers\, engineers\, and practitioners to present and discuss latest advances and innovations in theories\, infrastructure\, schemes\, and applications for secure computation\, privacy technologies\, security economics\, human computer interaction\, as well as to identify emerging research topics and define the future trends.
URL:https://eucloudedgeiot.eu/event/3rd-international-workshop-on-advances-on-privacy-preserving-technologies-and-solutions/
LOCATION:Benevento\, Benevento\, Italy
CATEGORIES:Workshops
ATTACH;FMTTYPE=image/jpeg:https://eucloudedgeiot.eu/wp-content/uploads/2023/06/ares-conference-2023.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230916
DTEND;VALUE=DATE:20230921
DTSTAMP:20260409T112655
CREATED:20230623T111540Z
LAST-MODIFIED:20230623T112443Z
UID:8493-1694905200-1695250799@eucloudedgeiot.eu
SUMMARY:ASSIST-IoT IoT-ECAW’23 – Call for papers
DESCRIPTION:ASSIST-IoT co-organises the 7th Workshop on Internet of Things – Enablers\, Challenges and Applications (IoT-ECAW’23) in Warsaw\, Poland\, 17–20 September\, 2023 (organized within the 18th Conference on Computer Science and Intelligence Systems-FedCSIS 2023 (IEEE: #57573)\, 16th International Workshop on Computational Optimization (WCO’23)\, Track 3). Call for papers is open – Submission deadline 23 May 2023. \nCALL FOR PAPERS\n7th Workshop on Internet of Things – Enablers\, Challenges and Applications (IoT-ECAW’23)\, Warsaw\, Poland\, 17–20 September\, 2023\n(organized within the 18th Conference on Computer Science and Intelligence Systems-FedCSIS 2023 (IEEE: #57573)\, 16th International Workshop on Computational Optimization (WCO’23)\, Track 3) \nStrict submission deadline: May 23\, 2023\, 23:59:59 AOE (no extensions) \nKEY FACTS:\nProceedings: submitted to IEEE Digital Library; indexing: DBLP\, Scopus and Web of Science; organized within framework of the ASSIST-IoT project; 70 punktów parametrycznych MEiN \nPlease feel free to forward this announcement to your colleagues and associates who could be interested in it. \nStatement concerning LLMs\nRecognizing developing issue that affects all academic disciplines\, we would like to state that\, in principle\, papers that include text generated from a large-scale language model (LLM) are prohibited\, unless the produced text is used within the experimental part of the work.\nThe Internet of Things is a technology which is rapidly emerging around the world.IoT applications include: smart city initiatives\, wearable devices aimed to real-time health monitoring\, smart homes and buildings\, smart vehicles\, environment monitoring\, intelligent border protection\, logistics support.The Internet of Things is a paradigm that assumes a pervasive presence in the environment of many smart things\, including sensors\, actuators\, embedded systems and other similar devices.Widespread connectivity\, getting cheaper smart devices and a great demand for data\, testify to that the IoT will continue to grow by leaps and bounds.The business models of various industries are being redesigned on basis of the IoT paradigm.But the successful deployment of the IoT is conditioned by the progress in solving many problems. These issues are as the following: \n\nThe integration of heterogeneous sensors and systems with different technologies taking account environmental constraints\, and data confidentiality levels;\nBig challenges on information management for the applications of IoT in different fields (trustworthiness\, provenance\, privacy);\nSecurity challenges related to co-existence and interconnection of many IoT networks;\nChallenges related to reliability and dependability\, especially when the IoT becomes the mission critical component;\nZero-configuration or other convenient approaches to simplify the deployment and configuration of IoT and self-healing of IoT networks;\nKnowledge discovery\, especially semantic and syntactical discovering of the information from data provided by IoT.\n\nThe IoT technical session is seeking original\, high quality research papers related to such topics. The session will also solicit papers about current implementation efforts\, research results\, as well as position statements from industry and academia regarding applications of IoT. The focus areas will be\, but not limited to\, the challenges on networking and information management\, security and ensuring privacy\, logistics\, situation awareness\, and medical care. \nTopics\nThe IoT session is seeking original\, high quality research papers related to following topics: \n\nFuture communication technologies (Future Internet; Wireless Sensor Networks; Web-services\, 5G\, 4G\, LTE\, LTE-Advanced; WLAN\, WPAN; Small cell Networks…) for IoT\,\nIntelligent Internet Communication\,\nIoT Standards\,\nNetworking Technologies for IoT\,\nProtocols and Algorithms for IoT\,\nSelf-Organization and Self-Healing of IoT Networks\,\nObject Naming\, Security and Privacy in the IoT Environment\,\nSecurity Issues of IoT\,\nIntegration of Heterogeneous Networks\, Sensors and Systems\,\nContext Modeling\, Reasoning and Context-aware Computing\,\nFault-Tolerant Networking for Content Dissemination\,\nIoT Architecture Design\, Interoperability and Technologies\,\nData or Power Management for IoT\,\nFog – Cloud Interactions and Enabling Protocols\,\nReliability and Dependability of mission critical IoT\,\nUnmanned-Aerial-Vehicles (UAV) Platforms\, Swarms and Networking\,\nData Analytics for IoT\,\nArtificial Intelligence and IoT\,\nApplications of IoT (Healthcare\, Military\, Logistics\, Supply Chains\, Agriculture\, …)\,\nE-commerce and IoT.\n\nThe session will also solicit papers about current implementation efforts\, research results\, as well as position statements from industry and academia regarding applications of IoT. Focus areas will be\, but not limited to above mentioned topics. \nSubmission rules:\n\nAuthors should submit their papers as Postscript\, PDF or MSWord files.\nThe total length of a paper should not exceed 10 pages IEEE style (including tables\, figures and references). IEEE style templates are available here.\nPapers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.\nPreprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants.\nOnly papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.\nConference proceedings will be published in a volume with ISBN\, ISSN and DOI numbers and posted at the conference WWW site.\nConference proceedings will be submitted for indexation according to information here.\nOrganizers reserve right to move accepted papers between FedCSIS technical sessions.\n\n\nImportant dates:\n\nPaper submission (strict deadline): May 23\, 2023\, 23:59:59 (AoE; there will be no extension)\nPosition paper submission: June 7\, 2023\nAuthor notification: July 11\, 2023\nFinal paper submission and registration: July 31\, 2023\nPayment (early fee deadline): July 26\, 2023\nConference date: September 17-20\, 2023\nIoT_ECAW Committee\n\nIoT_ECAW is organized within the framework of the ASSIST-IoT project.
URL:https://eucloudedgeiot.eu/event/assist-iot-iot-ecaw23-call-for-papers/
LOCATION:Warsaw\, Poland
CATEGORIES:Workshops
ATTACH;FMTTYPE=image/jpeg:https://eucloudedgeiot.eu/wp-content/uploads/2023/06/assist-iot-workshop.jpg
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230924
DTEND;VALUE=DATE:20230926
DTSTAMP:20260409T112655
CREATED:20230623T113202Z
LAST-MODIFIED:20230623T113853Z
UID:8509-1695596400-1695682799@eucloudedgeiot.eu
SUMMARY:The 1st International Workshop on Machine Learning for Autonomic System Operations in the Device-Edge-Cloud Continuum (MLSysOps 2023)
DESCRIPTION:Important Dates\nPaper Submission Deadline: 31 May 2023\nPaper Notification: 15 June 2023\nCamera Ready Deadline: 30 June 2023\nWorkshop Date: 25 September 2023 * full day * \nThe workshop\nTo address the ever-increasing deluge of data collected and processed by computing systems\, the trend of edge computing is establishing the effectiveness of processing data as close as possible to their source\, often consisting of dense networks of wireless sensor nodes and IoT devices.\nIt is predicted that by 2025 around 80% of enterprise data will be generated and processed outside the traditional cloud.\nIn fact\, edge computing is becoming even more attractive with the advent of energy-efficient micro-servers and powerful embedded devices with significant storage and processing capabilities.\nThe advent of device-cloud-edge (D-E-C) computing aggravates the challenging task of managing heterogeneous and distributed resources\, this time at an extreme scale\, making human-in-the-loop management completely unrealistic. To achieve dynamic and flexible system and application management with minimal user involvement\, the concept of autonomic computing systems was proposed as “computing systems that can manage themselves given high-level objectives from administrators”. However\, the scale\, heterogeneity\, high dynamicity\, and intrinsic local properties/variability of the continuum yields rule-based approaches – traditionally used in autonomic systems – insufficient. Machine learning-/AI-driven management is a promising alternative\, but the quest to extend this to the full continuum faces several challenges such as scalability\, heterogeneity\, dynamics\, trust & security\, and transparency. \nThe goal of the workshop is therefore to bring together a community of researchers and practitioners who study problems at the intersection of AI/ML\, autonomic and cognitive computing\, D-E-C continuum\, distributed system operation\, and resilient application deployment. \nTOPICS\nWorkshop suggested topics include\, but are not limited to empirical and theoretical studies of the following: \n\nAutonomic management and control of D-E-C continuum;\nML/AI-driven approaches for system operation of dynamic\, large-scale\, heterogeneous continuum systems;\nAgent-oriented architectures for D-E-C continuum orchestration;\nCognitive computing models in the edge-cloud continuum;\nAI/ML-based management of computing\, networking and storage resources in the continuum;\nGreen\, resource-efficient techniques for system operation;\nAI/ML-based trust and security methods in the edge-cloud continuum;\nNetwork and System Simulators for the D-E-C continuum;\nAI/ML-based application deployment in continuum systems.
URL:https://eucloudedgeiot.eu/event/the-1st-international-workshop-on-machine-learning-for-autonomic-system-operations-in-the-device-edge-cloud-continuum-mlsysops-2023/
LOCATION:University of Calabria\, Via Pietro Bucci\, Calabria\, 87036\, Italy
CATEGORIES:Workshops
ATTACH;FMTTYPE=image/jpeg:https://eucloudedgeiot.eu/wp-content/uploads/2023/06/mlsysops2023.jpg
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