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

Informacje na temat projektu

dAIEDGE

Identyfikator umowy o grant: 101120726

DOI

10.3030/101120726

Data podpisania przez KE 27 Czerwca 2023

Data rozpoczęcia 1 Września 2023

Data zakończenia 31 Sierpnia 2026

Finansowanie w ramach

• Digital, Industry and Space

Koszt całkowity

€ 10 746 872,00

Wkład UE

€ 10 746 872,00

Koordynowany przez

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
Germany

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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

Publikacje

Other (7)

Designing Efficient LLM Accelerators for Edge Devices

Autorzy: Jude Haris, Rappy Saha, Wenhao Hu, José Cano
Wydawca: arxiv.org

Thermal Image Dataset for Concealed Handgun Detection

Autorzy: J.D. Muñoz, J. Ruiz-Santaquiteria, O. Deniz
Wydawca: Mendeley Data
DOI: 10.17632/B6RPGR6NRH.1

iVault: Architectural Code Concealing Techniques to Protect Cryptographic Keys

Autorzy: Christou, George; Vasiliadis, Giorgos; Zarras, Apostolis; Ioannidis, Sotiris
Wydawca: zenodo.org
DOI: 10.5281/ZENODO.12783182

Accelerating PoT Quantization on Edge Devices

Autorzy: Rappy Saha, Jude Haris, José Cano
Wydawca: arxiv.org

Action recognition and object detection dataset for firearm-related actions

Autorzy: J. Ruiz-Santaquiteria, J.D. Muñoz, F.J. Maigler, O. Deniz, G. Bueno
Wydawca: Mendeley Data
DOI: 10.17632/BBZPXHD22J.2

Towards smart and adaptive agents for active sensing on edge devices

Autorzy: Devendra Vyas, Miguel de Prado, Tim Verbelen
Wydawca: Zenodo
DOI: 10.48550/ARXIV.2501.06262

A Simple and Generalist Approach for Panoptic Segmentation

Autorzy: Nedyalko Prisadnikov, Wouter Van Gansbeke, Danda Pani Paudel, Luc Van Gool
Wydawca: arxiv.org

Thesis and dissertations (1)

Digital Sovereignty for Collaborative AI Engineering

Autorzy: Daliparthi, Venkata Satya Sai Ajay
Wydawca: BTH DiVA Portal
DOI: 10.5281/ZENODO.15387465

Peer reviewed articles (8)

WRIT: Web Request Integrity and Attestation Against Malicious Browser Extensions

Autorzy: Giorgos Vasiliadis, Apostolos Karampelas, Alexandros Shevtsov, Panagiotis Papadopoulos, Sotiris Ioannidis, Alexandros Kapravelos
Opublikowane w: IEEE Transactions on Dependable and Secure Computing, Numer 21, 2024, ISSN 1545-5971
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TDSC.2023.3322516

Concealed Weapon Detection Using Thermal Cameras

Autorzy: Juan D. Muñoz, Jesus Ruiz-Santaquiteria, Oscar Deniz, Gloria Bueno
Opublikowane w: Journal of Imaging, Numer 11, 2025, ISSN 2313-433X
Wydawca: MDPI AG
DOI: 10.3390/JIMAGING11030072

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

Autorzy: Caelin Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira
Opublikowane w: Proceedings on Privacy Enhancing Technologies, Numer 2024, 2023, ISSN 2299-0984
Wydawca: 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

Autorzy: Gloria Bueno, Lucia Sanchez-Vargas, Alberto Diaz-Maroto, Jesus Ruiz-Santaquiteria, Maria Blanco, Jesus Salido, Gabriel Cristobal
Opublikowane w: Electronics, Numer 14, 2025, ISSN 2079-9292
Wydawca: MDPI AG
DOI: 10.3390/ELECTRONICS14050930

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

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

Leveraging AutoEncoders and chaos theory to improve adversarial example detection

Autorzy: Anibal Pedraza, Oscar Deniz, Harbinder Singh, Gloria Bueno
Opublikowane w: Neural Computing and Applications, Numer 36, 2024, ISSN 0941-0643
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/S00521-024-10141-1

Fast Transciphering Via Batched And Reconfigurable LUT Evaluation

Autorzy: Leonard Schild, Aysajan Abidin, Bart Preneel
Opublikowane w: IACR Transactions on Cryptographic Hardware and Embedded Systems, Numer 2024, 2024, ISSN 2569-2925
Wydawca: Universitatsbibliothek der Ruhr-Universitat Bochum
DOI: 10.46586/tches.v2024.i4.205-230

ShareBERT: Embeddings Are Capable of Learning Hidden Layers

Autorzy: Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, Numer 38, 2024, ISSN 2374-3468
Wydawca: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v38i16.29781

Conference proceedings (20)

Exploring Adversarial Attacks on the MaSTer Truncation Protocol

Autorzy: Zbudila, Martin Abidin, Aysajan Preneel, Bart
Wydawca: ACM
DOI: 10.1145/3733102.3733119

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

Autorzy: Vinamra Sharma, Danilo Pau, José Cano
Opublikowane w: 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI), 2024
Wydawca: IEEE
DOI: 10.1109/RTSI61910.2024.10761203

On the Sparsity of the Strong Lottery Ticket Hypothesis

Autorzy: Emanuele Natale , Davide Ferre’ , Giordano Giambartolomei , Frédéric Giroire, Frederik Mallmann-Trenn
Wydawca: HAL science ouverte

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

Autorzy: Alessandro Ottaviano, Robert Balas, Philippe Sauter, Manuel Eggimann, Luca Benini
Opublikowane w: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024
Wydawca: IEEE
DOI: 10.23919/DATE58400.2024.10546868

FedStale: leveraging Stale Updates in Federated Learning

Autorzy: Angelo Rodio, Giovanni Neglia
Opublikowane w: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Wydawca: IOS Press
DOI: 10.3233/FAIA240849

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

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

Weapon Detection Using PTZ Cameras

Autorzy: Juan Daniel Muñoz, Jesus Ruiz-Santaquiteria, Oscar Deniz, Gloria Bueno
Opublikowane w: Communications in Computer and Information Science, Robotics, Computer Vision and Intelligent Systems, 2024
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-59057-3_7

Learning from Wrong Predictions in Low-Resource Neural Machine Translation

Autorzy: Hu, Jia Cheng; Cavicchioli, Roberto; Berardinelli, Giulia; Capotondi, Alessandro
DOI: 10.5281/ZENODO.15394124

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

Autorzy: Jia Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi
Opublikowane w: 2023 IEEE International Conference on Big Data (BigData), 2024
Wydawca: IEEE
DOI: 10.1109/BIGDATA59044.2023.10386812

FedBed: Benchmarking Federated Learning over Virtualized Edge Testbeds

Autorzy: Symeonides, M., Nikolaidis, F., Trihinas, D., Pallis, G., Dikaiakos, M. D., & Bilas, A.
Opublikowane w: UCC '23: Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing
Wydawca: Association for Computing MachineryNew YorkNYUnited States
DOI: 10.1145/3603166.363213

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

Autorzy: Jia Cheng Hu
Opublikowane w: 31th International Conference on Neural Information Processing (ICONIP) abstracts, 2025
Wydawca: Tuwhera
DOI: 10.24135/ICONIP25

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

Autorzy: Hanna Müller, Victor Kartsch, Michele Magno, Luca Benini
Opublikowane w: 2024 IEEE Sensors Applications Symposium (SAS), 2024
Wydawca: IEEE
DOI: 10.1109/SAS60918.2024.10636518

Minimum Time Maximum Fault Coverage Testing of Spiking Neural Networks

Autorzy: Spyridon Raptis, Haralampos-G. Stratigopoulos
Opublikowane w: 2025 Design, Automation & Test in Europe Conference (DATE), 2025
Wydawca: IEEE
DOI: 10.23919/DATE64628.2025.10993048

Work in Progress: Linear Transformers for TinyML

Autorzy: Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini
Opublikowane w: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024
Wydawca: IEEE
DOI: 10.23919/DATE58400.2024.10546828

Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm

Autorzy: Batiste Le Bars , Aurélien Bellet , Marc Tommasi , Kevin Scaman , Giovanni Neglia
Wydawca: HAL science ouverte

Link inference attacks in vertical federated graph learning

Autorzy: O. Zari, C. Xu, J. Parra-Arnau, A. Ünsal, M. Önen
Wydawca: IEEE

Scheduling Machine Learning Compressible Inference Tasks with Limited Energy Budget

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

F-BFQ: Flexible Block-Floating Point Quantization Accelerator for LLMs

Autorzy: Jude Haris, José Cano
Opublikowane w: Workshop on New Approaches for Addressing the Computing Requirements of LLMs and GNNs (LG-ARC) @ ISCA 2025
Wydawca: arXiv

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

Autorzy: Dominik Günzel, Srikanth Mandapati
Opublikowane w: Active and Passive Remote Sensing of Oceans, Seas, and Lakes, 2025
Wydawca: SPIE
DOI: 10.1117/12.3040646

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

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