Twinning action for spreading excellence in Artificial Intelligence of Things

Informazioni relative al progetto

AIoTwin

ID dell’accordo di sovvenzione: 101079214

DOI

10.3030/101079214

Progetto chiuso

Data della firma CE 26 Luglio 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2025

Finanziato da

• Widening participation and spreading excellence

Costo totale

€ 1 499 625,00

Contributo UE

€ 1 499 625,00

Coordinato da

SVEUCILISTE U ZAGREBU FAKULTET ELEKTROTEHNIKE I RACUNARSTVA
Croatia

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Conference proceedings (20)

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

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

Blockchain-based Zero Trust on the Edge

Autori: Bicer, Cem; Murturi, Ilir; Donta, Praveen Kumar; Dustdar, Schahram
Pubblicato 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

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

Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting

Autori: Nghia Duong-Trung, Duc-Manh Nguyen, Danh Le-Phuoc
Pubblicato 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

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

Community AI: Towards Community-based Federated Learning

Autori: Murturi, Ilir; Donta, Praveen Kumar; Dustdar, Schahram
Pubblicato 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

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

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

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

Semantic Programming for Device-Edge-Cloud Continuum

Autori: Tuan Anh, Le; Bowden, David; Le Phuoc, Danh
Pubblicato 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

Autori: Čilić, Ivan; Lackinger, Anna; Frangoudis, Pantelis; Podnar Žarko, Ivana; Furutanpey, Alireza; Murturi, Ilir; Dustdar, Schahram
Pubblicato 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

Autori: Ivan Kralj; Lodovico Giaretta; Gordan Jezic; Ivana Podnar Zarko; Sarunas Girdzijauskas
Pubblicato 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

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

Inference Load-Aware Orchestration for Hierarchical Federated Learning

Autori: Lackinger, Anna; Frangoudis, Pantelis; Čilić, Ivan; Furutanpey, Alireza; Murturi, Ilir; Podnar Žarko, Ivana; Dustdar, Schahram
Pubblicato 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

Autori: Holzer, Stefan and Frangoudis, Pantelis and Tsigkanos, Christos and Dustdar, Schahram
Pubblicato 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

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

Learning-Driven Zero Trust in Distributed Computing Continuum Systems

Autori: Murturi, Ilir; Donta, Praveen Kumar; Casamayor-Pujol, Victor; Morichetta, Andrea; Dustdar, Schahram
Pubblicato 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

Autori: Jukić, Ana-Petra; Seder, Marija; Šelek, Ana; Podnar Žarko, Ivana
Pubblicato 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

Autori: M. Has, T. Xiong, F. Ben Abdesslem, M. Kušek
Pubblicato in: IoT Workshop Proceedings, 2025
Editore: 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

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

Enhancing EV Charging Management with Dynamic Pricing and Edge Intelligence

Autori: Luka Gjurić, Gordan Ježić, Ivana Podnar-Žarko, Mario Kušek
Pubblicato in: 2025 10th International Conference on Smart and Sustainable Technologies (SpliTech), 2025
Editore: 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

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

Exploring the Potential of Distributed Computing Continuum Systems

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

IEEE Transactions on Emerging Topics in Computing

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