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

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 approach

Autori: Panagiotis G. Giannopoulos, Vangelis Malamas, Dimitris Koutras, Thomas K. Dasaklis
Pubblicato in: International Conference on Control, Decision and Information Technologies (CoDIT2025), 2025

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: 2025, ISBN 979-8-4007-1595-2
Editore: ACM Digital Library
DOI: 10.1145/3770501.3770528

Data Glitches Discovery using Influence-based Model Explanations

Autori: Nikolaos Myrtakis, Ioannis Tsamardinos, Vassilis Christophides
Pubblicato in: KDD '25: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V, 2025
Editore: Association for Computing Machinery
DOI: 10.1145/3690624.370928

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: 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

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

A novel approach to graph distinction through GENEOs and permutants

Autori: Giovanni Bocchi; Massimo Ferri; Patrizio Frosini
Pubblicato in: Scientific Reports, 2025
DOI: 10.48550/ARXIV.2406.08045

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

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

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

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