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

Información del proyecto

dAIEDGE

Identificador del acuerdo de subvención: 101120726

DOI

10.3030/101120726

Fecha de la firma de la CE 27 Junio 2023

Fecha de inicio 1 Septiembre 2023

Fecha de finalización 31 Agosto 2026

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 10 746 872,00

Aportación de la UE

€ 10 746 872,00

Coordinado por

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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

Publicaciones

Peer reviewed articles (12)

Data in Brief

Autores: Jesus Ruiz-Santaquiteria; Juan D. Muñoz; Francisco J. Maigler; Oscar Deniz; Gloria Bueno
Publicado en: Data in Brief, 2023, ISSN 2352-3409
Editor: Elsevier BV
DOI: 10.1016/j.dib.2024.110030

WRIT: Web Request Integrity and Attestation Against Malicious Browser Extensions

Autores: Giorgos Vasiliadis, Apostolos Karampelas, Alexandros Shevtsov, Panagiotis Papadopoulos, Sotiris Ioannidis, Alexandros Kapravelos
Publicado en: IEEE Transactions on Dependable and Secure Computing, Edición 21, 2024, ISSN 1545-5971
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TDSC.2023.3322516

Concealed Weapon Detection Using Thermal Cameras

Autores: Juan D. Muñoz, Jesus Ruiz-Santaquiteria, Oscar Deniz, Gloria Bueno
Publicado en: Journal of Imaging, Edición 11, 2025, ISSN 2313-433X
Editor: MDPI AG
DOI: 10.3390/JIMAGING11030072

Neural Computing and Applications

Autores: Anibal Pedraza; Oscar Deniz; Harbinder Singh; Gloria Bueno
Publicado en: Neural Computing and Applications, Edición Springer, 2024, ISSN 0941-0643
Editor: Springer Verlag
DOI: 10.1007/s00521-024-10141-1

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

Autores: Caelin Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira
Publicado en: Proceedings on Privacy Enhancing Technologies, Edición 2024, 2023, ISSN 2299-0984
Editor: 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

Autores: Gloria Bueno, Lucia Sanchez-Vargas, Alberto Diaz-Maroto, Jesus Ruiz-Santaquiteria, Maria Blanco, Jesus Salido, Gabriel Cristobal
Publicado en: Electronics, Edición 14, 2025, ISSN 2079-9292
Editor: MDPI AG
DOI: 10.3390/ELECTRONICS14050930

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

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

Leveraging AutoEncoders and chaos theory to improve adversarial example detection

Autores: Anibal Pedraza, Oscar Deniz, Harbinder Singh, Gloria Bueno
Publicado en: Neural Computing and Applications, Edición 36, 2024, ISSN 0941-0643
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S00521-024-10141-1

Leveraging AutoEncoders and chaos theory to improve adversarial example detection

Autores: Anibal Pedraza, Oscar Deniz, Harbinder Singh, Gloria Bueno
Publicado en: Neural Computing and Applications, Edición 36, 2024, ISSN 0941-0643
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S00521-024-10141-1

Data in Brief

Autores: Jesus Ruiz-Santaquiteria; Juan D. Muñoz; Francisco J. Maigler; Oscar Deniz; Gloria Bueno
Publicado en: Data in Brief, 2023, ISSN 2352-3409
Editor: Elsevier BV
DOI: 10.1016/J.DIB.2024.110030

Fast Transciphering Via Batched And Reconfigurable LUT Evaluation

Autores: Leonard Schild, Aysajan Abidin, Bart Preneel
Publicado en: IACR Transactions on Cryptographic Hardware and Embedded Systems, Edición 2024, 2024, ISSN 2569-2925
Editor: Universitatsbibliothek der Ruhr-Universitat Bochum
DOI: 10.46586/tches.v2024.i4.205-230

ShareBERT: Embeddings Are Capable of Learning Hidden Layers

Autores: Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 38, 2024, ISSN 2374-3468
Editor: 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

Autores: Viviane Potocnik; Alfio Di Mauro; Christoph Leitner; Moritz Scherer; Georg Rutishauser; Lorenzo Lamberti; Luca Benini
Publicado en: 2024
Editor: www.researchsquare.com
DOI: 10.21203/rs.3.rs-4023416/v1

Leveraging AutoEncoders and chaos theory to improve adversarial example detection

Autores: Anibal Pedraza; Oscar Deniz; Harbinder Singh; Gloria Bueno
Publicado en: Neural Computing and Applications, 2024, ISBN 1826518275
Editor: 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

Autores: Vinamra Sharma, Danilo Pau, José Cano
Publicado en: 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI), 2024
Editor: IEEE
DOI: 10.1109/RTSI61910.2024.10761203

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

Autores: Alessandro Ottaviano, Robert Balas, Philippe Sauter, Manuel Eggimann, Luca Benini
Publicado en: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024
Editor: IEEE
DOI: 10.23919/DATE58400.2024.10546868

FedStale: leveraging Stale Updates in Federated Learning

Autores: Angelo Rodio, Giovanni Neglia
Publicado en: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Editor: IOS Press
DOI: 10.3233/FAIA240849

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

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

Weapon Detection Using PTZ Cameras

Autores: Juan Daniel Muñoz, Jesus Ruiz-Santaquiteria, Oscar Deniz, Gloria Bueno
Publicado en: Communications in Computer and Information Science, Robotics, Computer Vision and Intelligent Systems, 2024
Editor: 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

Autores: Jia Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi
Publicado en: 2023 IEEE International Conference on Big Data (BigData), 2024
Editor: IEEE
DOI: 10.1109/BIGDATA59044.2023.10386812

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

Autores: Jia Cheng Hu
Publicado en: 31th International Conference on Neural Information Processing (ICONIP) abstracts, 2025
Editor: Tuwhera
DOI: 10.24135/ICONIP25

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

Autores: Hanna Müller, Victor Kartsch, Michele Magno, Luca Benini
Publicado en: 2024 IEEE Sensors Applications Symposium (SAS), 2024
Editor: IEEE
DOI: 10.1109/SAS60918.2024.10636518

Minimum Time Maximum Fault Coverage Testing of Spiking Neural Networks

Autores: Spyridon Raptis, Haralampos-G. Stratigopoulos
Publicado en: 2025 Design, Automation & Test in Europe Conference (DATE), 2025
Editor: IEEE
DOI: 10.23919/DATE64628.2025.10993048

Work in Progress: Linear Transformers for TinyML

Autores: Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini
Publicado en: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024
Editor: IEEE
DOI: 10.23919/DATE58400.2024.10546828

Scheduling Machine Learning Compressible Inference Tasks with Limited Energy Budget

Autores: Tiago Da Silva Barros, Davide Ferre, Frederic Giroire, Ramon Aparicio-Pardo, Stephane Perennes
Publicado en: Proceedings of the 53rd International Conference on Parallel Processing, 2024
Editor: ACM
DOI: 10.1145/3673038.3673106

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

Autores: Dominik Günzel, Srikanth Mandapati
Publicado en: Active and Passive Remote Sensing of Oceans, Seas, and Lakes, 2025
Editor: SPIE
DOI: 10.1117/12.3040646

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

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