A Comprehensive Framework enabling the Delivery of Trustworthy Datasets for Efficient AIoT Operation

Informazioni relative al progetto

PANDORA

ID dell’accordo di sovvenzione: 101135775

DOI

10.3030/101135775

Data della firma CE 29 Marzo 2024

Data di avvio 1 Aprile 2024

Data di completamento 31 Marzo 2027

Finanziato da

• Digital, Industry and Space

Costo totale

€ 8 991 728,75

Contributo UE

€ 8 991 728,75

Coordinato da

ETHNICON METSOVION POLYTECHNION
Greece

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)

Embedded mechanisms to demonstrate progress

PANDORA experimental protocol(s),KPIs, metrics, V&V strategy and trial execution plan (T2.5)

Architecture and technical specifications

Details the technical specifications and architecture of PANDORA framework (T2.4).

Project set-up

Identification of similar EU-funded projects and initiatives, Scientific Board formulation, a review of relevant literature, and ethical requirements (T2.1, T2.2, T2.3, T2.6).

Plan for dissemination and exploitation

Dissemination and exploitation plans (Τ7.1)

Instantiation of PANDORA pipelines in industrial settings

Validation scenario alignment, architectural blueprints for trial cases, and self-validation (T6.1, T6.2, T6.3)

Data Management Plan (1)

Data management plan and handbook

Outlines the data management strategy for the project (T1.4, T1.5) and project’s Handbook (T1.3)

Pubblicazioni

Conference proceedings (24)

A Study on the Performance of Distributed Storage Systems in Edge Computing Environments

Autori: Antonios Makris, Ioannis Kontopoulos, Stylianos Nektarios Xyalis, Evangelos Psomakelis, Theodoros Theodoropoulos, Andreas Varvarigos, Konstantinos Tserpes
Pubblicato in: 2024 IEEE International Conference on Joint Cloud Computing (JCC), 2024
Editore: IEEE
DOI: 10.1109/JCC62314.2024.00012

Ensuring Trustworthy AI for Sensitive Infrastructure using Knowledge Representation

Autori: Mejri, Oumayma, Waedt, Karl, Yatagha, Romarick, Edeh, Natasha, Sebastiao, Claudia Lemos
Pubblicato in: 9th IACS WS'24, 2024, ISSN 2944-7682
Editore: Gesellschaft für Informatik e.V.
DOI: 10.18420/INF2024_167

Federated Attention Autoencoders with a Stochastic Aggregation Scheme for Anomaly Detection

Autori: Mihailo Ilic, Milos Savic, Vladimir Kurbalija, Mirjana Ivanovic, Giancarlo Fortino, Dusan Jakovetic
Pubblicato in: 3rd IEEE International Conference on Federated Learning Technologies and Applications (FLTA25), 2025
Editore: 3rd IEEE International Conference on Federated Learning Technologies and Applications (FLTA25)
DOI: 10.5281/ZENODO.17803933

DigiGuide: A DT-Based Occupant Guiding System for Optimizing Comfort and Energy Consumption

Autori: Jun Ma, Roberto Yus, Georgios Bouloukakis
Pubblicato in: 2025 IEEE International Conference on Smart Computing (SMARTCOMP), 2025
Editore: IEEE
DOI: 10.1109/SMARTCOMP65954.2025.00065

Path planning optimization in industrial AGVs: A hybrid decentralized architecture

Autori: Panagiotis G. Giannopoulos, Vangelis Malamas, Dimitris Koutras, Thomas K. Dasaklis
Pubblicato in: 2025 11th International Conference on Control, Decision and Information Technologies (CoDIT), 2026
Editore: IEEE
DOI: 10.1109/CODIT66093.2025.11321915

LLMs on Edge: Network Traffic Characteristics of Distributed Inference under the Loupe

Autori: Philippe Buschmann, Arne Broering, Georg Carle, Andreas Blenk
Pubblicato in: Proceedings of the 2nd Workshop on Networks for AI Computing, 2025
Editore: ACM
DOI: 10.1145/3748273.3749213

ChronoEpilogi: scalable time-series variable selection with multiple solutions

Autori: Etienne Vareille, Michele Linardi, Ioannis Tsamardinos, Vassilis Christophides
Pubblicato in: Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024
Editore: Association for Computing Machinery
DOI: 10.5555/3737916.3742183

The role of energy consumption prediction in Green Orchestration

Autori: Korontanis, Ioannis; Kontopoulos, Ioannis; Tserpes, Konstantinos; Varlamis, Iraklis
Pubblicato in: Middleware for Autonomous AIoT Systems in the Computing Continuum (MAIOT 2025), 2025
Editore: ACM Digital Libary
DOI: 10.5281/ZENODO.17831649

High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise

Autori: Aleksandar Armacki, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Pubblicato in: 9th IEEE Int. Forum on Research and Technologies for Society and Industry (RTSI), 2025, ISSN 2687-6817
Editore: IEEE
DOI: 10.48550/ARXIV.2310.18784

FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems

Autori: Herbert Woisetschläger, Alexander Erben, Ruben Mayer, Shiqiang Wang, Hans-Arno Jacobsen
Pubblicato in: Proceedings of the 25th International Middleware Conference, 2025
Editore: ACM
DOI: 10.1145/3652892.3700751

MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild

Autori: Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
Pubblicato in: IEEE Computer Vision and Pattern Recognition Conference (CVPR) 2024 - Workshop, 2024
DOI: 10.48550/ARXIV.2404.09010

Exploitation of Open Source Datasets and Deep Learning Models for the Detection of Objects in Urban Areas

Autori: Elpida Gkouvra, Thodoris Betsas, Maria Pateraki
Pubblicato in: 2024 IEEE International Conference on Image Processing Challenges and Workshops (ICIPCW), 2024
Editore: IEEE
DOI: 10.1109/ICIPCW64161.2024.10769185

Using Knowledge Representation to achieve Reliable and trustworthy AI in Sensitive Infrastructure

Autori: Oumayma Mejri, Waedt Karl, Yatagha Romarick, Ruland Karl Christoph, Zeddini Oumayma
Pubblicato in: 8th International Symposium on Future Instrumentation and Control for Nuclear Power Plants (ISOFIC 2024), 2024
Editore: 8th International Symposium on Future Instrumentation and Control for Nuclear Power Plants (ISOFIC 2024)

Enhancing AI Predictive Accuracy in Sensitive Infrastructure Using Knowledge Representation

Autori: Oumayma Mejri, Christoph Ruland, Karl Waedt, Amine El Elj
Pubblicato in: 2025 IEEE 9th Forum on Research and Technologies for Society and Industry (RTSI), 2025, ISSN 2687-6817
Editore: IEEE
DOI: 10.1109/RTSI64020.2025.11212271

PEPPER: Profiling-based Edge Placement and Partitioning for Deep Learning Execution

Autori: Korontanis Ioannis, Kontopoulos Ioannis, Zacharia Athena, Makris Antonios, Chronis Christos, Pateraki Maria, Tserpes Konstantinos, Varlamis Iraklis
Pubblicato in: The 15th International Conference on the Internet of Things(IOT 2025), 2025, ISBN 979-8-4007-1595-2
Editore: ACM Digital Library
DOI: 10.1145/3770501.3770528

MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees

Autori: Ryan Zhang, Herbert Woisetschläger, Shiqiang Wang, Hans Arno Jacobsen
Pubblicato in: NeurIPS 2024 Workshop on Adaptive Foundation Models, 2024
DOI: 10.48550/ARXIV.2411.00889

Unlocking AIoT efficiency in the computing continuum - the PANDORA framework

Autori: Georgios Bouloukakis , Ajay Kattepur, Dusan Jakovetic, Alexandros Iosifidis, Konstantinos Tserpes, Maria Pateraki
Pubblicato in: The 15th International Conference on the Internet of Things (IOT 2025), 2025
Editore: ACM Digital Library
DOI: 10.1145/3770501.3770525

Network-Aware Path Planning for Autonomous MobileRobots in Industrial Environments

Autori: Kathalkar, Om; Hajj Hassan, Houssam; Kattepur, Ajay; Bouloukakis, Georgios
Pubblicato in: 16th International Conference on Ambient Systems, Networks and Technologies, 2026
Editore: IEEE
DOI: 10.5281/ZENODO.17830292

An Efficient Storage Solution for Cloud/Edge Computing Infrastructures : (Invited Paper)

Autori: Antonios Makris, Ioannis Korontanis, Evangelos Psomakelis, Konstantinos Tserpes
Pubblicato in: 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE), 2024
Editore: IEEE
DOI: 10.1109/SOSE62363.2024.00017

Data Glitches Discovery using Influence-based Model Explanations

Autori: Nikolaos Myrtakis, Ioannis Tsamardinos, Vassilis Christophides
Pubblicato in: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2025
Editore: ACM
DOI: 10.1145/3690624.3709285

Modeling Inhabited Smart Spaces to Support Interoperable IoT-Based Applications

Autori: Roberto Yus, Nada Lahjouji, Georgios Bouloukakis, Sharad Mehrotra, Nalini Venkatasubramanian
Pubblicato in: 2025 26th IEEE International Conference on Mobile Data Management (MDM), 2025
Editore: IEEE
DOI: 10.1109/MDM65600.2025.00025

CIAK-CP: Camera feed Injection AttacK in Collaborative Perception

Autori: Calipari Marco, Fabian Maximilian Schmidt, Hamad Amin Mohammad Hamadad, Steinhorst Sebastian
Pubblicato in: 41st ACM/SIGAPP Symposium On Applied Computing, 2026
Editore: ACM Digital Library

DeepCoT: Deep Continual Transformers for Real-Time Inference on Data Streams

Autori: Ginés Carreto Picón, Peng Yuan Zhou, Qi Zhang, Alexandros Iosifidis
Pubblicato in: Computer Vision and Pattern Recognition
Editore: IEEE

Streamlining ML Training in Kubernetes: An MLOps Architecture with Kubeflow

Autori: Korontanis Ioannis, Zacharia Athena, Makris Antonios, Pateraki Maria, Tserpes Konstantinos
Pubblicato in: The 15th International Conference on the Internet of Things (IOT 2025), 2025
Editore: ACM Digital Library
DOI: 10.1145/3770501.3771304

Peer reviewed articles (3)

Neural Networks

Autori: Ginés Carreto Picón; Illia Oleksiienko; Lukas Hedegaard; Arian Bakhtiarnia; Alexandros Iosifidis
Pubblicato in: Neural Networks, 2026, ISSN 0893-6080
Editore: Pergamon Press Ltd.
DOI: 10.48550/ARXIV.2412.03214

A novel approach to graph distinction through GENEOs and permutants

Autori: Giovanni Bocchi, Massimo Ferri, Patrizio Frosini
Pubblicato in: Scientific Reports, Numero 15, 2025, ISSN 2045-2322
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-90152-7

GraphOpticon: A Global proactive horizontal autoscaler for improved service performance & resource consumption

Autori: Theodoros Theodoropoulos, Yashwant Singh Patel, Uwe Zdun, Paul Townend, Ioannis Korontanis, Antonios Makris, Konstantinos Tserpes
Pubblicato in: Future Generation Computer Systems, Numero 174, 2026, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/J.FUTURE.2025.107926

Book chapters (2)

Energy-Efficient Task Offloading in Edge Computing: A Survey of Deep Reinforcement Learning Approaches

Autori: Eleftheria Papageorgiou, Theodoros Theodoropoulos, Konstantinos Tserpes
Pubblicato in: Lecture Notes in Computer Science, Economics of Grids, Clouds, Systems, and Services, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-81226-2_16

I2DS: FPGA-Based Deep Learning Industrial Intrusion Detection System

Autori: Ioannis Morianos, Konstantinos Georgopoulos, Andreas Brokalakis, Thomas Kyriakakis, Sotiris Ioannidis
Pubblicato in: Lecture Notes in Computer Science, Embedded Computer Systems: Architectures, Modeling, and Simulation, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78380-7_14