Twinning action for spreading excellence in Artificial Intelligence of Things

Projektinformationen

AIoTwin

ID Finanzhilfevereinbarung: 101079214

DOI

10.3030/101079214

Projekt abgeschlossen

EK-Unterschriftsdatum 26 Juli 2022

Startdatum 1 Januar 2023

Enddatum 31 Dezember 2025

Finanziert unter

• Widening participation and spreading excellence

Gesamtkosten

€ 1 499 625,00

EU-Beitrag

€ 1 499 625,00

Koordiniert durch

SVEUCILISTE U ZAGREBU FAKULTET ELEKTROTEHNIKE I RACUNARSTVA
Croatia

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Documents, reports (5)

Report on Use Cases, Requirements, and Architecture (1)

Reports specification of the use cases, system requirements and architecture. It includes state of the art analysis in (M12) and developed mechanisms for orchestration, energy-efficiency and ML workflows in the IoT edge environment (M24).

Data Management Plan

Defines the initial data management plan and procedures for collecting, storing, and processing the data sets with specific focus on personal data. This is a live document which will be regularly updated during the project. The final version reports on the acquired data sets and applied procedures for collecting, storing, and processing the data sets.

Report on Joint Paper Preparation, Conference Attendance and D/C/E activities(1)

Reports on prepared papers and attended conferences. Reports all dissemination and exploitation activities, including communication.

Report on the AIoTwin Summer Schools (1)

Includes the schedule, materials and results of the AIoTwin summer school held during the first year of the project.

AIoTwin Middleware Implementation and Evaluation (1)

Reports the architecture and design of the AIoTwin middleware in M18 and includes validation results of the developed mechanisms in M33 on the established testbed.

Demonstrators, pilots, prototypes (1)

Demonstrator of State-of-the-Art Mechanisms for Edge Orchestration, Energy-Efficiency and ML Workflows

Demonstrates existing state-of-the-art mechanisms for orchestration, energy-efficiency and ML workflows suitable for an IoT edge environment onthe established testbed.

Websites, patent fillings, videos etc. (1)

Project Website

Presents the launched project website.

Veröffentlichungen

Conference proceedings (20)

Collaborative Inference in DNN-Based Satellite Systems with Dynamic Task Streams

Autoren: Guan, J., Zhang, Q., Murturi, I., Donta, P. K., Dustdar, S., & Wang, S.
Veröffentlicht in: IEEE International Conference on Communications (ICC), 2024
Herausgeber: IEEE
DOI: 10.5281/ZENODO.10658237

Blockchain-based Zero Trust on the Edge

Autoren: Bicer, Cem; Murturi, Ilir; Donta, Praveen Kumar; Dustdar, Schahram
Veröffentlicht in: 10th Annual Conf. on Computational Science & Computational Intelligence (CSCI’23), 2023
DOI: 10.5281/zenodo.10658079

Building a P2P RDF Store for Edge Devices

Autoren: Guo, Xuanchi; Le, Tuan Anh; Le Phuoc, Danh
Veröffentlicht in: The IoT Conference, 2024
DOI: 10.48550/arxiv.2309.09364

Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting

Autoren: Nghia Duong-Trung, Duc-Manh Nguyen, Danh Le-Phuoc
Veröffentlicht in: International Workshop on Explainable and Interpretable Machine Learning (XI-ML), 26th European Conference on Artificial Intelligence (ECAI 2023), 2024
DOI: 10.1007/978-3-031-50396-2_14

VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph

Autoren: Yuan, Jicheng; Le Tuan, Anh; Nguyen-Duc, Manh; Trung-Kien, Tran; Hauswirth, Manfred; Le Phuoc, Danh
Veröffentlicht in: Lecture Notes in Computer Science ISBN: 9783031606342, 2024
DOI: 10.5281/ZENODO.11265309

Community AI: Towards Community-based Federated Learning

Autoren: Murturi, Ilir; Donta, Praveen Kumar; Dustdar, Schahram
Veröffentlicht in: The Fifth IEEE International Conference on Cognitive Machine Intelligence (CogMI 2023), 2023
DOI: 10.5281/zenodo.10658107.

QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum

Autoren: Čilić, Ivan; Jukanović, Valentin; Podnar Zarko, Ivana; Frangoudis, Pantelis; Dustdar, Schahram
Veröffentlicht in: 2024 IEEE International Conference on Edge Computing and Communications (EDGE), 2024
Herausgeber: IEEE
DOI: 10.34726/8802

A Multidimensional Elasticity Framework for Adaptive Data Analytics Management in the Computing Continuum

Autoren: Sergio Laso, Ilir Murturi, Pantelis Frangoudis, Juan Luis Herrera, Juan M. Murillo, Schahram Dustdar
Veröffentlicht in: ICC 2025 - IEEE International Conference on Communications, 2025
Herausgeber: IEEE
DOI: 10.48550/ARXIV.2501.11369

Semantic Programming for Device-Edge-Cloud Continuum

Autoren: Tuan Anh, Le; Bowden, David; Le Phuoc, Danh
Veröffentlicht in: 2023 IEEE 31st International Conference on Network Protocols (ICNP), 2023
DOI: 10.48550/arxiv.2308.10555

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget

Autoren: Čilić, Ivan; Lackinger, Anna; Frangoudis, Pantelis; Podnar Žarko, Ivana; Furutanpey, Alireza; Murturi, Ilir; Dustdar, Schahram
Veröffentlicht in: 2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2025
DOI: 10.48550/ARXIV.2412.03385

Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction

Autoren: Ivan Kralj; Lodovico Giaretta; Gordan Jezic; Ivana Podnar Zarko; Sarunas Girdzijauskas
Veröffentlicht in: 2025 IEEE International Conference on Edge Computing and Communications (EDGE), 2025
DOI: 10.48550/ARXIV.2412.03188

Orchestrating Hierarchical Federated Learning Pipelines with the AIoTwin Middleware

Autoren: I. Čilić, A.-P. Jukić, Katarina Vuknić, I. Podnar Žarko
Veröffentlicht in: IoT Workshop Proceedings, 2025
Herausgeber: Institute of Information Systems Engineering, TU Wien
DOI: 10.34749/3061-1008.2025.10

Inference Load-Aware Orchestration for Hierarchical Federated Learning

Autoren: Lackinger, Anna; Frangoudis, Pantelis; Čilić, Ivan; Furutanpey, Alireza; Murturi, Ilir; Podnar Žarko, Ivana; Dustdar, Schahram
Veröffentlicht in: 2024 IEEE 49th Conference on Local Computer Networks (LCN), 2024
DOI: 10.5281/ZENODO.13790132

SMT-as-a-Service for Fog Supported Cyber-Physical Systems

Autoren: Holzer, Stefan and Frangoudis, Pantelis and Tsigkanos, Christos and Dustdar, Schahram
Veröffentlicht in: ICDCN '24: Proceedings of the 25th International Conference on Distributed Computing and Networking, 2024
DOI: 10.5281/zenodo.10101312

Edge-Based Predictive Data Reduction for Smart Agriculture: A Lightweight Approach to Efficient IoT Communication

Autoren: Dora Krekovic, Mario Kusek, Ivana Podnar Zarko, Danh Le-Phuoc
Veröffentlicht in: IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT 2025), 2025
Herausgeber: IEEE
DOI: 10.48550/ARXIV.2511.19103

Learning-Driven Zero Trust in Distributed Computing Continuum Systems

Autoren: Murturi, Ilir; Donta, Praveen Kumar; Casamayor-Pujol, Victor; Morichetta, Andrea; Dustdar, Schahram
Veröffentlicht in: The 21st IEEE International Conference on Pervasive Intelligence and Computing (PICom 2023), 2023
DOI: 10.5281/zenodo.10657927

Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control

Autoren: Jukić, Ana-Petra; Seder, Marija; Šelek, Ana; Podnar Žarko, Ivana
Veröffentlicht in: 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech), 2024
DOI: 10.48550/ARXIV.2405.06473

WebAssembly on Resource-Constrained IoT Devices: Performance, Efficiency, and Portability

Autoren: M. Has, T. Xiong, F. Ben Abdesslem, M. Kušek
Veröffentlicht in: IoT Workshop Proceedings, 2025
Herausgeber: Institute of Information Systems Engineering, TU Wien
DOI: 10.34749/3061-1008.2025.5

A Comprehensive Performance Evaluation of Procedural Geometry Workloads on Resource-Constrained Devices

Autoren: Govori, Edon and Murturi, Ilir and Dustdar, Schahram
Veröffentlicht in: 2023 IEEE International Conference on Edge Computing and Communications (EDGE), 2023
Herausgeber: IEEE
DOI: 10.1109/EDGE60047.2023.00049

Enhancing EV Charging Management with Dynamic Pricing and Edge Intelligence

Autoren: Luka Gjurić, Gordan Ježić, Ivana Podnar-Žarko, Mario Kušek
Veröffentlicht in: 2025 10th International Conference on Smart and Sustainable Technologies (SpliTech), 2025
Herausgeber: IEEE
DOI: 10.5281/ZENODO.15568921

Peer reviewed articles (3)

Reducing communication overhead in the IoT–edge–cloud continuum: A survey on protocols and data reduction strategies

Autoren: Dora Kreković, Petar Krivić, Ivana Podnar Žarko, Mario Kušek, Danh Le-Phuoc
Veröffentlicht in: Internet of Things, Ausgabe 31, 2025, ISSN 2542-6605
Herausgeber: Elsevier BV
DOI: 10.48550/ARXIV.2404.19492

Exploring the Potential of Distributed Computing Continuum Systems

Autoren: Donta, Praveen Kumar, Ilir Murturi, Victor Casamayor Pujol, Boris Sedlak, and Schahram Dustdar
Veröffentlicht in: Computer, 2023, ISSN 2073-431X
Herausgeber: MDPI
DOI: 10.3390/COMPUTERS12100198

IEEE Transactions on Emerging Topics in Computing

Autoren: Sedlak, B., Murturi, I., Donta, P. K., & Dustdar, S.
Veröffentlicht in: IEEE Transactions on Emerging Topics in Computing, 2023, ISSN 2168-6750
Herausgeber: IEEE Computer Society
DOI: 10.5281/zenodo.10658150