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Edge AI Technologies for Optimised Performance Embedded Processing (EdgeAI)

Project
EdgeAI is as a key initiative for the European digital transition towards intelligent processing solutions at the edge. EdgeAI will develop new electronic components and systems, processing architectures, connectivity, software, algorithms, and middleware through the combination of microelectronics, AI, embedded systems, and edge computing. EdgeAI will ensure that Europe has the necessary tools, skills, and technologies to enable edge AI as a viable alternative deployment option to legacy centralised solutions, unlocking the potential of ubiquitous AI deployment, with the long-term objective of Europe taking the lead of Intelligent Edge. EdgeAI will contribute to the Green Deal twin transition with a systemic, cross-sectoral approach, and will deliver enhanced AI-based electronic components and systems, edge processing platforms, AI frameworks and middleware. It will develop methodologies to ease, advance and tailor the design of edge AI technologies by co-ordinating efforts across 48 of the brightest and best R&D organizations across Europe. It will demonstrate the applicability of the developed approaches across a variety of vertical solutions, considering security, trust, and energy efficiency demands inherent in each of these use cases. EdgeAI will significantly contribute to the grand societal challenge to increase the intelligent processing capabilities at the edge.
  • Overview
  • Research Areas
  • Publications

Overview

Contributors

PIURI VINCENZO   Scientific Manager  

Departments involved

Dipartimento di Informatica Giovanni Degli Antoni   Principale  

Type

Horizon Europe - European Partnership

Funder (2)

EUROPEAN COMMISSION
External Organization Funding Organization
MINISTERO DELLO SVILUPPO ECONOMICO
External Organization Funding Organization

Date/time interval

December 1, 2022 - June 30, 2026

Project duration

43 months

Research Areas

Concepts


Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni

Publications

Outputs (21)

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  • Academic Article
  • Chapter
  • Conference Paper
On the relevance of patch-based extraction methods for monocular depth estimation 
IMAGE AND VISION COMPUTING
ELSEVIER
2026
Academic Article
Open Access
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Distributed Anomaly Detection with Attention-guided Diffusion Models and Client-side Defect Generation 
IEEE SYSTEMS JOURNAL
INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE)
2025
Academic Article
Open Access
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FELACS: Federated Learning with Adaptive Client Selection for IoT DDoS attack detection 
COMPUTERS & SECURITY
ELSEVIER
2025
Academic Article
Open Access
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OneN: Guided attention for natively-explainable anomaly detection 
IMAGE AND VISION COMPUTING
ELSEVIER
2025
Academic Article
Open Access
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TA_DA: Target-Aware Data Anonymization 
IEEE TRANSACTIONS ON PRIVACY
INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE)
2025
Academic Article
Open Access
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A decision support system for acute lymphoblastic leukemia detection based on explainable artificial intelligence 
IMAGE AND VISION COMPUTING
ELSEVIER
2024
Academic Article
Open Access
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Enforcing Corporate Governance Controls with Cloud-based Services 
IEEE TRANSACTIONS ON SERVICES COMPUTING
INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
2024
Academic Article
Open Access
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Multi-Dimensional Flat Indexing for Encrypted Data 
IEEE TRANSACTIONS ON CLOUD COMPUTING
INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE)
2024
Academic Article
Open Access
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Robust DDoS attack detection with adaptive transfer learning 
COMPUTERS & SECURITY
ELSEVIER
2024
Academic Article
Open Access
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Intelligent traction inverter in next generation electric vehicles: The health monitoring of silicon-carbide power modules 
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE)
2023
Academic Article
Reserved Access
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Query Integrity in Smart Environments 
LECTURE NOTES IN COMPUTER SCIENCE
SPRINGER
2025
Chapter
Partially Open Access
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Explainability and interpretability concepts for edge AI systems 
RIVER PUBLISHERS
2023
Chapter
Open Access
FLIFRA: Hybrid data poisoning attack detection in federated learning for IoT security 
INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE)
2025
Conference Paper
Partially Open Access
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TransferEdge: Transfer learning approach to detect evolving DDoS threats in Edge-IIoT 
IEEE
2025
Conference Paper
Partially Open Access
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DT-Anon: Decision Tree Target-Driven Anonymization 
LECTURE NOTES IN COMPUTER SCIENCE
SPRINGER
2024
Conference Paper
Reserved Access
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Features Disentanglement For Explainable Convolutional Neural Networks 
PROCEEDINGS - INTERNATIONAL CONFERENCE ON IMAGE PROCESSING
IEEE
2024
Conference Paper
Partially Open Access
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ALL-IDB Patches: Whole slide imaging for Acute Lymphoblastic Leukemia detection using Deep Learning 
IEEE
2023
Conference Paper
Partially Open Access
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Adversarial defect synthesis for industrial products in low data regime 
IEEE
2023
Conference Paper
Partially Open Access
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Anomaly-based intrusion detection system for DDoS attack with Deep Learning techniques 
SCITEPRESS
2023
Conference Paper
Partially Open Access
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Applications and limits of image-to-image translation models 
INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS
IEEE
2023
Conference Paper
Partially Open Access
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Tree-based optimization for image-to-image translation with imbalanced datasets on the edge 
... IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND VIRTUAL ENVIRONMENTS FOR MEASUREMENT SYSTEMS AND APPLICATIONS
IEEE
2023
Conference Paper
Partially Open Access
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