A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge

Project Information

dAIEDGE

Grant agreement ID: 101120726

DOI

10.3030/101120726

EC signature date 27 June 2023

Start date 1 September 2023

End date 31 August 2026

Funded under

• Digital, Industry and Space

Total cost

€ 10 746 872,00

EU contribution

€ 10 746 872,00

Coordinated by

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Other (5)

Pan-European Workshop on Edge AI technological trends and developments

Workshop of the NoE on future trends of edge AI

Workshop on industrial and investments priorities for successful AI at the Edge in Europe - Workshop Nr 1

Workshop for collaboration with PPP and industrial stakeholders

Seminars, workshop and events - Event Nr 1

Dissemination events, multiplier events

Roundtable on Edge AI functional and non-functional requirements

Expert workshop for requirements gathering and discussion

Workshops (co-organized with other pillars) - Workshop Nr 1

Two-day workshop for alignment with all pillars of the EU AI Lighthouse

Documents, reports (18)

Algorithms and methods prototype

First version of the edge AI algorithms

Call Announcement and Guide for Applicants - Call Nr 2

Open Call Package documents

Middleware prototype

First version of the middleware

Intermediate report and risk log - Report Nr 1

Updated report and log for risk prevention and mitigation (every 6 months)

Platform prototype

First version of the hardware platform solutions

dAIEDGE Communication, Dissemination and Exploitation plan

Plan of the project communication, dissemination and exploitation

Report on Edge AI functional and non-functional requirements

Comprehensive report on edge AI requirements

Call Announcement and Guide for Applicants - Call Nr 1

Open Call Package documents

Intermediate reports and risk log - Report Nr 3

Updated report and log for risk prevention and mitigation (every 6 months)

Evolutive infrastructure inventory - Report Nr 1

Inventory of existing infrastructure for edge AU

Quality assurance plan

Measures for ensuring quality

Risk management plan

Plan and measures for risk prevention and mitigation

Distributed network design

Design and architecture of the distributed network of frameworks

Intermediate reports and risk log - Report Nr 2

Updated report and log for risk prevention and mitigation (every 6 months)

Reference document on European AI Lighthouse implementation

Plans and recommendations organisation of the EU AI Lighthouse

Evolutive infrastructure inventory - Report Nr 2

Inventory of existing infrastructure for edge AU

dAIEDGE Communication, Dissemination and Exploitation plan - update Nr 1

First update of the dAIEDGE Communication, Dissemination and Exploitation plan

Report on Use Case definition, demonstration setup and validation plan

Complete and refined definition of the three use cases with evaluation plan

Data Management Plan (2)

Final data management plan

Plan for management of data in the NoE and in the consortium - final version

Initial data management plan

Plan for management of data in the NoE and in the consortium - intial version

Publications

Peer reviewed articles (12)

Data in Brief

Author(s): Jesus Ruiz-Santaquiteria; Juan D. Muñoz; Francisco J. Maigler; Oscar Deniz; Gloria Bueno
Published in: Data in Brief, 2023, ISSN 2352-3409
Publisher: Elsevier BV
DOI: 10.1016/j.dib.2024.110030

WRIT: Web Request Integrity and Attestation Against Malicious Browser Extensions

Author(s): Giorgos Vasiliadis, Apostolos Karampelas, Alexandros Shevtsov, Panagiotis Papadopoulos, Sotiris Ioannidis, Alexandros Kapravelos
Published in: IEEE Transactions on Dependable and Secure Computing, Issue 21, 2024, ISSN 1545-5971
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TDSC.2023.3322516

Concealed Weapon Detection Using Thermal Cameras

Author(s): Juan D. Muñoz, Jesus Ruiz-Santaquiteria, Oscar Deniz, Gloria Bueno
Published in: Journal of Imaging, Issue 11, 2025, ISSN 2313-433X
Publisher: MDPI AG
DOI: 10.3390/JIMAGING11030072

Neural Computing and Applications

Author(s): Anibal Pedraza; Oscar Deniz; Harbinder Singh; Gloria Bueno
Published in: Neural Computing and Applications, Issue Springer, 2024, ISSN 0941-0643
Publisher: Springer Verlag
DOI: 10.1007/s00521-024-10141-1

A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses

Author(s): Caelin Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira
Published in: Proceedings on Privacy Enhancing Technologies, Issue 2024, 2023, ISSN 2299-0984
Publisher: Privacy Enhancing Technologies Symposium Advisory Board
DOI: 10.56553/popets-2024-0031

Real-Time Edge Computing vs. GPU-Accelerated Pipelines for Low-Cost Microscopy Applications

Author(s): Gloria Bueno, Lucia Sanchez-Vargas, Alberto Diaz-Maroto, Jesus Ruiz-Santaquiteria, Maria Blanco, Jesus Salido, Gabriel Cristobal
Published in: Electronics, Issue 14, 2025, ISSN 2079-9292
Publisher: MDPI AG
DOI: 10.3390/ELECTRONICS14050930

DLAS: A Conceptual Model for Across-Stack Deep Learning Acceleration

Author(s): Perry Gibson, Jose Cano, Elliot Crowley, Amos Storkey, Michael O'Boyle
Published in: ACM Transactions on Architecture and Code Optimization, 2024, ISSN 1544-3566
Publisher: Association for Computing Machinery (ACM)
DOI: 10.1145/3688609

Leveraging AutoEncoders and chaos theory to improve adversarial example detection

Author(s): Anibal Pedraza, Oscar Deniz, Harbinder Singh, Gloria Bueno
Published in: Neural Computing and Applications, Issue 36, 2024, ISSN 0941-0643
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S00521-024-10141-1

Leveraging AutoEncoders and chaos theory to improve adversarial example detection

Author(s): Anibal Pedraza, Oscar Deniz, Harbinder Singh, Gloria Bueno
Published in: Neural Computing and Applications, Issue 36, 2024, ISSN 0941-0643
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S00521-024-10141-1

Data in Brief

Author(s): Jesus Ruiz-Santaquiteria; Juan D. Muñoz; Francisco J. Maigler; Oscar Deniz; Gloria Bueno
Published in: Data in Brief, 2023, ISSN 2352-3409
Publisher: Elsevier BV
DOI: 10.1016/J.DIB.2024.110030

Fast Transciphering Via Batched And Reconfigurable LUT Evaluation

Author(s): Leonard Schild, Aysajan Abidin, Bart Preneel
Published in: IACR Transactions on Cryptographic Hardware and Embedded Systems, Issue 2024, 2024, ISSN 2569-2925
Publisher: Universitatsbibliothek der Ruhr-Universitat Bochum
DOI: 10.46586/tches.v2024.i4.205-230

ShareBERT: Embeddings Are Capable of Learning Hidden Layers

Author(s): Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 38, 2024, ISSN 2374-3468
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v38i16.29781

Other (2)

Kraken: An Open-Source RISC-V SoC for Ultra-Low Power Multi-Modal Perception

Author(s): Viviane Potocnik; Alfio Di Mauro; Christoph Leitner; Moritz Scherer; Georg Rutishauser; Lorenzo Lamberti; Luca Benini
Published in: 2024
Publisher: www.researchsquare.com
DOI: 10.21203/rs.3.rs-4023416/v1

Leveraging AutoEncoders and chaos theory to improve adversarial example detection

Author(s): Anibal Pedraza; Oscar Deniz; Harbinder Singh; Gloria Bueno
Published in: Neural Computing and Applications, 2024, ISBN 1826518275
Publisher: Neural Computing and Applications (2024)
DOI: 10.1007/s00521-024-10141-1

Conference proceedings (13)

Efficient Tiny Machine Learning for Human Activity Recognition on Low-Power Edge Devices

Author(s): Vinamra Sharma, Danilo Pau, José Cano
Published in: 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI), 2024
Publisher: IEEE
DOI: 10.1109/RTSI61910.2024.10761203

PELS: A Lightweight and Flexible Peripheral Event Linking System for Ultra-Low Power IoT Processors

Author(s): Alessandro Ottaviano, Robert Balas, Philippe Sauter, Manuel Eggimann, Luca Benini
Published in: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024
Publisher: IEEE
DOI: 10.23919/DATE58400.2024.10546868

FedStale: leveraging Stale Updates in Federated Learning

Author(s): Angelo Rodio, Giovanni Neglia
Published in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Publisher: IOS Press
DOI: 10.3233/FAIA240849

Scheduling with Fully Compressible Tasks: Application to Deep Learning Inference with Neural Network Compression

Author(s): Tiago Da Silva Barros, Frédéric Giroire, Ramon Aparicio-Pardo, Stéphane Pérennes, Emanuele Natale
Published in: 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2024
Publisher: IEEE
DOI: 10.1109/CCGrid59990.2024.00045

Weapon Detection Using PTZ Cameras

Author(s): Juan Daniel Muñoz, Jesus Ruiz-Santaquiteria, Oscar Deniz, Gloria Bueno
Published in: Communications in Computer and Information Science, Robotics, Computer Vision and Intelligent Systems, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-59057-3_7

Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning

Author(s): Jia Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi
Published in: 2023 IEEE International Conference on Big Data (BigData), 2024
Publisher: IEEE
DOI: 10.1109/BIGDATA59044.2023.10386812

The Bidirectional Awareness Induction in Autoregressive Sequence-To-Sequence Models

Author(s): Jia Cheng Hu
Published in: 31th International Conference on Neural Information Processing (ICONIP) abstracts, 2025
Publisher: Tuwhera
DOI: 10.24135/ICONIP25

BatDeck: Advancing Nano-Drone Navigation with Low-Power Ultrasound-Based Obstacle Avoidance

Author(s): Hanna Müller, Victor Kartsch, Michele Magno, Luca Benini
Published in: 2024 IEEE Sensors Applications Symposium (SAS), 2024
Publisher: IEEE
DOI: 10.1109/SAS60918.2024.10636518

Minimum Time Maximum Fault Coverage Testing of Spiking Neural Networks

Author(s): Spyridon Raptis, Haralampos-G. Stratigopoulos
Published in: 2025 Design, Automation & Test in Europe Conference (DATE), 2025
Publisher: IEEE
DOI: 10.23919/DATE64628.2025.10993048

Work in Progress: Linear Transformers for TinyML

Author(s): Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini
Published in: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024
Publisher: IEEE
DOI: 10.23919/DATE58400.2024.10546828

Scheduling Machine Learning Compressible Inference Tasks with Limited Energy Budget

Author(s): Tiago Da Silva Barros, Davide Ferre, Frederic Giroire, Ramon Aparicio-Pardo, Stephane Perennes
Published in: Proceedings of the 53rd International Conference on Parallel Processing, 2024
Publisher: ACM
DOI: 10.1145/3673038.3673106

Satellite on-board processing of synthetic aperture radar data for rapid delivery of latency sensitive maritime information products

Author(s): Dominik Günzel, Srikanth Mandapati
Published in: Active and Passive Remote Sensing of Oceans, Seas, and Lakes, 2025
Publisher: SPIE
DOI: 10.1117/12.3040646

FedLoRa: IoT Spectrum Sensing Through Fast and Energy-Efficient Federated Learning in LoRa Networks

Author(s): Fabio Busacca, Stefano Mangione, Giovanni Neglia, Ilenia Tinnirello, Sergio Palazzo, Francesco Restuccia
Published in: 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems (MASS), 2024
Publisher: IEEE
DOI: 10.1109/MASS62177.2024.00047